
    IgD                    n  d Z ddlmZ ddlmZ ddlmZmZmZm	Z	m
Z
mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ  ej6                  e      Zi dg ddg d	g d
g ddgdg dg dg dg ddg ddg dg dg dg dg dg ddgi dddgdg d g d!d"d#gd$g d%g d&g d'd(g d)d*gd+g d,d-g d.d/gd0g d1d2g d3d4d5d6gd7g d8d9d:gi d;g d<d=d>d?gd@g dAg dBdCgdDg dEdFdGgdHg dIdJdKgdLdMgdNdOgdPdQdRgdSdTgdUdVdWgdXdYdZgd[g d\d]g d^i d_d`gdag dbdcdddegdfdggdhdigdjdkdlgdmg dndog dpdqg drdsg dtdug dvdwg dxdyg dzd{d|gd}d~gddgdddgi ddgddgdg dddgdddgddgdddgdg dddgdddgddgddgddgddgdg dg ddgi ddgddgdddgddgdg ddg dddgddgddgddgddgddgdddgdddgdg dǢddgddgi dg d͢dg dϢddgddgddgddgddgdg ddgddgdddgdg dddgdg dddgddgdddgi dddgddgddgdddgddgddgdg ddd dgdg dddgddgdd	d
gdddgddgddgddgdg di ddgddgdddgddgdd gd!d"gd#d$gd%g d&d'gd(d)gd*d+gd,d-d.gd/g d0d1d2gd3d4gd5d6gd7d8gi d9d:gd;d<gd=d>gd?d@gdAdBgdCg dDdEg dFdGdHgdIdJgdKdLdMgdNdOdPgdQg dRdSg dTdUdVgdWdXdYgdZd[gd\d]gi d^d_gd`dadbgdcdddegdfdgdhgdidjdkgdldmdngdodpgdqdrdsgdtdudvgdwdxgdydzgd{d|gd}d~gdg dddgdddgddgi dg ddgdg dg dddgddgddgdddgdg dddgddgddgddgddgdddgdddgddgi ddgddgdddgdddgdddgddgddgdg ddgddgddgdÐdgdŐdgdǐdȐdgdʐdːdgd͐dΐdgdАdgi dg dӢdg dբd֐dgdؐdgdڐdgdܐdݐdgdߐdgdddgddgddgddgddgddgdg ddddgddgddgi ddgdddgddgddgd ddgdg dddgddd	gd
g dddgddgddgddgddgdddgddgdddgi ddd gd!d"d#gd$d%gd&g d'd(g d)d*d+gd,d-gd.d/gd0d1gd2d3gd4g d5d6d7gd8g d9d:g d;d<d=d>gd?d@dAgdBdCgi dDdEgdFdGgdHdIgdJdKgdLdMgdNdOgdPdQgdRdSgdTdUgdVdWdXgdYdZgd[d\gd]d^gd_d`dagdbdcddgdedfdggdhdigi djdkgdldmgdndodpgdqdrgdsdtgdudvgdwg dxdydzgd{d|gd}d~dgddgddgddgddgddgddgdddgi ddgdg ddddgddgddgddgddgdg ddg dddgdddgddgddgddgddgddgddgi ddgddgdg dg dddgdg dg ddgdg ddg dâdg dŢdƐdgdȐdgdʐdgdg d͢dg dϢZ	  e       s e       	 ed.   j?                  dЫ       ed@   j?                  dѫ       edA   j?                  dҫ       edF   j?                  dӫ       edL   j?                  dԫ       edh   j?                  dի       edy   j?                  d֫       ed   j?                  d׫       ed   j?                  dث       ed   j?                  d٫       ed   j?                  dګ       ed   j?                  d۫       ed   j?                  dܫ       ed%   j?                  dݫ       edU   j?                  dޫ       ed^   j?                  d߫       edw   j?                  d       ed}   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  dޫ       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed(   j?                  d       ed4   j?                  d       ed8   j?                  d       ed:   j?                  d       edR   j?                  d       ede   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       	  e       s e       	 ed.   j?                  d       ed=   j?                  d       ed@   j?                  d       edD   j?                  d       edL   j?                  d       edU   j?                  d       edX   j?                  d       ed_   j?                  d       edh   j?                  d       eds   j?                  d       edy   j?                  d        edz   j?                  d       ed}   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d	       ed   jG                  g d
       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed!   j?                  d       ed#   j?                  d       ed1   j?                  d       edN   j?                  d       edQ   j?                  d       edS   j?                  d       edU   j?                  d       edW   j?                  d       ed^   j?                  d       edl   j?                  d       edt   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d       ed   j?                  d        ed   j?                  d!       ed   j?                  d"       ed   j?                  d#       ed   j?                  d$       ed   j?                  d%       ed    j?                  d&       ed   j?                  d'       ed   j?                  d(       ed   j?                  d)       ed   j?                  d*       ed(   j?                  d+       ed<   j?                  d,       ed?   j?                  d-       edR   j?                  d.       ede   j?                  d/       ed   j?                  d0       ed   j?                  d1       ed   j?                  d2       ed   j?                  d3       d4ged5<   	  e       r e       s e       	 d8d9ged9<   	  e       s e       	 edD   j?                  d<       	  e       s e       	 ed   j?                  d?       	  e       s e       	 dBgedC<   dDgedE<   dFgedG<   edB   jG                  dHdIg       edS   jG                  dJg       ed[   jG                  dKg       eda   j?                  dL       edm   j?                  dM       edo   jG                  dNdOg       eds   jG                  dPdQg       ed   jG                  dRdSg       ed   jG                  dTdUg       ed   jG                  dVdWg       ed   jG                  dXdYg       ed   j?                  dZ       ed   j?                  d[       ed   j?                  d\       ed   jG                  d]g       ed   jG                  g d^       ed   jG                  d_d`g       ed   jG                  dadbg       ed   j?                  dc       ed   jG                  g dd       ed   jG                  dedfg       ed   jG                  dgdhg       ed,   jG                  dig       ed9   jG                  djg       ed;   jG                  dkg       ed=   jG                  dlg       ed?   jG                  dmdng       edE   jG                  dog       edQ   jG                  dpdqg       edS   jG                  drdsg       edZ   jG                  dtdug       edc   j?                  dv       edf   j?                  dw       edi   jG                  dxdyg       ed   j?                  dz       ed   jG                  d{d|g       ed   jG                  d}g       ed   jG                  d~dg       ed   jG                  ddg       ed   jG                  ddg       ed   j?                  d       ed   jG                  dg       ed   j?                  d       ed   jG                  ddg       ed   jG                  ddg       ed   jG                  dg       ed   j?                  d       ed   jG                  ddg       ed   jG                  dg       ed   jG                  dg       ed!   jG                  dg       ed&   jG                  dg       ed,   jG                  ddg       ed.   jG                  dg       ed4   j?                  d       edF   jG                  dg       edL   j?                  d       edb   j?                  d       eds   j?                  d       edu   jG                  ddg       edw   jG                  g d       ed   jG                  ddg       ed   j?                  d       ed   j?                  d       ed   jG                  ddg       ed   j?                  d       	  e       s e       	 dged<   ed   j?                  d       	  e       s e       	 g ed<   dged<   dged<   g ded<   g ded<   ed    jG                  g d       ddged<   g ed<   g ed<   dged<   dged<   ed.   jG                  g d       ed0   jG                  g d       ed2   jG                  g d       ed4   jG                  g d¢       ed7   jG                  g dâ       ed9   jG                  g dĢ       ed;   jG                  g dŢ       ed=   jG                  g dƢ       edB   jG                  g dǢ       edD   jG                  g dȢ       edF   jG                  g dɢ       edL   jG                  g dʢ       edN   jG                  g dˢ       edP   jG                  g d̢       edS   jG                  g d͢       edU   jG                  g d΢       edX   jG                  g dϢ       ed[   jG                  g dТ       ed]   jG                  g dѢ       ed_   jG                  g dҢ       eda   jG                  g dӢ       edc   jG                  g dԢ       edh   jG                  g dբ       edj   jG                  g d֢       edm   jG                  g dע       edo   jG                  g dآ       edq   jG                  g d٢       eds   jG                  g dڢ       edu   jG                  g dۢ       edw   jG                  g dܢ       edz   jG                  g dݢ       ed}   jG                  g dޢ       ed   jG                  g dߢ       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  dd g       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  dd	g       ed   jG                  g d
       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   j?                  d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d        ed   jG                  g d!       ed   jG                  d"d#g       ed   jG                  g d$       ed   jG                  g d%       ed   jG                  g d&       ed   jG                  g d'       ed   jG                  g d(       ed   jG                  g d)       ed   jG                  g d*       ed   jG                  g d+       ed!   jG                  g d,       ed#   jG                  g d-       ed&   jG                  g d.       ed(   jG                  g d/       ed*   jG                  g d0       ed,   jG                  g d1       ed/   jG                  g d2       ed3   jG                  g d3       ed5   jG                  g d4       ed7   jG                  g d5       ed9   jG                  g d6       ed;   jG                  g d7       ed=   jG                  g d8       ed?   jG                  g d9       edA   jG                  g d:       edC   jG                  g d;       edE   jG                  g d<       edG   jG                  g d=       edI   jG                  g d>       edK   jG                  g d?       edN   jG                  g d@       edQ   jG                  g dA       edS   jG                  g dB       edW   jG                  g dC       edZ   jG                  g dD       ed\   jG                  g dE       ed^   jG                  g dF       ed`   jG                  dGdHg       edc   jG                  dIdJg       edf   jG                  dKdLg       edi   jG                  dMdNg       edl   jG                  g dO       edo   jG                  g dP       edq   jG                  g dQ       edt   jG                  g dR       edw   jG                  g dS       edy   jG                  g dT       ed{   jG                  g dU       ed}   jG                  g dV       ed   jG                  g dW       ed   jG                  g dX       ed   jG                  g dY       ed   jG                  g dZ       ed   jG                  g d[       ed   jG                  g d\       ed   jG                  d]d^g       ed   jG                  g d_       ed   jG                  g d`       ed   jG                  g da       ed   jG                  g db       ed   jG                  g dc       ed   jG                  g dd       ed   jG                  g de       ed   jG                  g df       ed   jG                  g dg       ed   jG                  g dh       ed   jG                  g di       ed   jG                  g dj       ed   jG                  g dk       ed   jG                  g dl       ed   jG                  g dm       ed   jG                  g dn       ed   jG                  g do       ed   jG                  g dp       ed   jG                  g dq       ed   jG                  g dr       ed   jG                  g ds       ed   jG                  dtdug       ed   jG                  g dv       ed   jG                  g dw       ed   jG                  g dx       ed   jG                  g dy       ed   jG                  g dz       ed   jG                  g d{       ed   jG                  g d|       ed   jG                  g d}       ed   jG                  g d~       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed    jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed
   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed!   jG                  g d       ed$   jG                  g d       ed&   jG                  ddg       ed(   jG                  g d       ed*   jG                  g d       ed,   jG                  g d       ed.   jG                  g d       ed0   jG                  g d       ed2   jG                  g d       ed4   jG                  g d       ed6   jG                  dg       ed8   jG                  g d       ed:   jG                  g d       ed<   jG                  g d       ed?   jG                  g d       edB   jG                  g d       edD   jG                  g d       edF   jG                  ddg       edH   jG                  g d       edJ   jG                  g d       edL   jG                  g d       edN   jG                  g d       edP   jG                  g d       edR   jG                  g d       edT   jG                  g d       edV   jG                  g d       edY   jG                  g d       ed[   jG                  g d       ed]   jG                  dg       ed_   jG                  ddg       edb   jG                  g d       ede   jG                  g d       edh   jG                  g d       edj   jG                  g d       edl   jG                  g d¢       edn   jG                  dg       edq   jG                  dĐdg       eds   jG                  g dƢ       edu   jG                  g dǢ       edw   jG                  g dȢ       edy   jG                  dɐdg       ed{   jG                  dg       ed}   jG                  dg       ed   jG                  g d͢       ed   jG                  g d΢       ed   jG                  g dϢ       ed   jG                  g dТ       ed   jG                  g dѢ       ed   jG                  dҐdg       ed   jG                  dԐdg       ed   jG                  g d֢       ed   jG                  g dע       ed   jG                  g dآ       ed   jG                  g d٢       ed   jG                  g dڢ       ed   jG                  g dۢ       ed   jG                  g dܢ       ed   jG                  g dݢ       ed   jG                  g dޢ       ed   jG                  g dߢ       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  ddg       g ded<   g ded<   g ed<   g ed<   dged<   dged<   dged<   	  e       s e       	 g ed<   dged<   dged<   ed    jG                  g d       ddged<   g ed<   g d ed<   ed.   jG                  g d       ed7   jG                  g d       ed=   jG                  g d       edD   jG                  g d       edU   jG                  g d       edX   jG                  g d       ed[   jG                  g d       edh   jG                  g d	       eds   jG                  g d
       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   j?                  d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed&   jG                  g d       ed/   jG                  g d       ed5   jG                  g d        ed9   jG                  g d!       edN   jG                  g d"       edS   jG                  g d#       edW   jG                  g d$       edl   jG                  g d%       edt   jG                  g d&       ed}   jG                  g d'       ed   jG                  g d(       ed   jG                  g d)       ed   jG                  g d*       ed   jG                  g d+       ed   jG                  g d,       ed   jG                  g d-       ed   jG                  g d.       ed   jG                  g d/       ed   jG                  g d0       ed
   jG                  g d1       ed   jG                  g d2       ed   jG                  g d3       ed   jG                  g d4       ed   jG                  g d5       ed   jG                  g d6       ed   jG                  g d7       ed&   jG                  d8d9g       ed,   jG                  g d:       ed8   jG                  g d;       edH   jG                  g d<       edJ   jG                  g d=       edR   jG                  g d>       edV   jG                  g d?       ed{   jG                  d@g       ed}   jG                  dAg       ed   jG                  g dB       ed   jG                  g dC       ed   jG                  g dD       ed   jG                  g dE       ed   jG                  g dF       ed   jG                  g dG       ed   jG                  g dH       ed   jG                  g dI       g dJedK<   g edL<   	  e       r e	       r e       r e       r e       s e       	 ed   j?                  dO       ed   j?                  dP       ed   j?                  dQ       	  e       s e       	 ed   j?                  dT       ed   j?                  dU       	  e
       s e       	 ed    jG                  g dX       g edY<   dZged[<   ed.   jG                  g d\       ed7   jG                  g d]       ed=   jG                  g d^       edB   jG                  g d_       edD   jG                  g d`       edL   jG                  g da       edU   jG                  g db       edX   jG                  g dc       ed_   jG                  g dd       eds   jG                  g de       ed   jG                  g df       ed   jG                  g dg       ed   jG                  g dh       ed   j?                  di       ed   jG                  g dj       ed   jG                  g dk       ed&   jG                  g dl       ed^   jG                  g dm       ed   jG                  g dn       edo   jG                  g do       ed}   jG                  g dp       ed   jG                  g dq       ed   jG                  g dr       ed   jG                  g ds       ed   jG                  g dt       ed   jG                  g du       ed   jG                  g dv       ed   jG                  g dw       ed   jG                  g dx       ed   jG                  g dy       ed   jG                  g dz       ed6   j?                  d{       edR   jG                  g d|       ed{   j?                  d}       ed}   jG                  d~g       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       ed   jG                  g d       eCrddl/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;m<Z<m=Z=m>Z>m?Z? ddl@mAZA ddlBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZT ddlUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z` ddlambZb ddlcmdZdmeZe dd!lfmgZgmhZhmiZimjZj ddlkmlZl dd'lmmnZnmoZompZpmqZqmrZrmsZsmtZtmuZumvZvmwZw ddlxmyZy dd,lzm{Z{m|Z|m}Z}m~Z~mZmZmZ ddlmZ dd1lmZmZmZmZ dd3lmZmZmZmZ ddlmZmZ dd8lmZmZmZmZmZmZmZmZmZmZmZ ddlmZ dd<lmZmZmZmZmZ ddlmZmZ ddlmZ ddElmZmZmZmZ ddlmZ ddIlmZmZmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZ dd\lmZmZmZmZ dd^lmZmZmZmZ ddlmZ ddblmZmZmZmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddnlmZmZmZ ddplmZmZmZmZ ddrlmZmZmZmZ ddtlmZmZmZmZmZ ddvlmZmZmZmZ ddxlmZmZmZmZmZm Z  ddlmZmZ ddlmZ ddlmZ ddlm	Z	m
Z
 ddlmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZ ddlmZmZ ddlmZmZmZ ddlmZ ddl m!Z!m"Z" ddl#m$Z$ ddl%m&Z& ddl'm(Z( ddl)m*Z* ddl+m,Z, ddl-m.Z. ddl/m0Z0 ddl1m2Z2m3Z3 ddl4m5Z5 ddl6m7Z7m8Z8m9Z9m:Z: ddl;m<Z<m=Z=m>Z> ddl?m@Z@ ddlAmBZB ddlCmDZD ddlEmFZF ddlGmHZH ddlImJZJ ddlKmLZLmMZM ddlNmOZOmPZP ddǐlQmRZRmSZSmTZT ddlUmVZV ddlWmXZX dd͐lYmZZZm[Z[m\Z\ ddϐl]m^Z^m_Z_m`Z` ddlambZb ddlcmdZd ddlemfZf ddlgmhZh ddlimjZj ddlkmlZl ddlmmnZn ddÐlompZpmqZq ddĐlrmsZsmtZt ddlumvZvmwZwmxZxmyZymzZz ddŐl{m|Z| ddƐl}m~Z~ ddǐlmZmZ ddȐlmZmZ ddɐlmZ ddʐlmZ ddːlmZmZ dd̐lmZ dd͐lmZ ddlmZmZmZmZ ddΐlmZmZ ddlmZmZmZmZmZ ddϐlmZ ddАlmZ ddѐlmZmZ ddҐlmZmZ ddӐlmZ ddԐlmZ ddՐlmZ ddlmZmZmZ dd֐lmZ ddאlmZ ddؐlmZmZ ddِlmZ ddڐlmZ ddېlmZ ddܐlmZ ddݐlmZ ddސlÐmĐZ ddߐlŐmƐZ ddlǐmȐZȐmɐZ dd0lʐmːZːm̐Z̐m͐Z ddlΐmϐZ ddlАmѐZ ddlҐmӐZ ddlԐmՐZ ddl֐mאZ ddlؐmِZ ddlڐmېZ ddlܐmݐZ ddlސmߐZ ddDlmZmZmZmZ ddFlmZmZmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZmZ ddRlmZmZmZmZmZ ddTlmZmZmZmZmZ ddl mZ ddlmZmZ ddlmZ ddlmZ ddl	m
Z
 ddlmZmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZ ddlmZmZ ddlm Z m!Z! ddl"m#Z# ddl$m%Z% ddl&m'Z' ddl(m)Z) ddl*m+Z+m,Z,m-Z-m.Z. ddl/m0Z0 dd l1m2Z2m3Z3 ddl4m5Z5 ddl6m7Z7 ddl8m9Z9m:Z:m;Z; ddl<m=Z= ddl>m?Z? ddl@mAZA ddlBmCZCmDZD ddlEmFZFmGZG ddlHmIZI dd	lJmKZK dd
lLmMZM ddlNmOZO ddlPmQZQmRZR ddlSmTZTmUZU ddlVmWZW ddlXmYZY ddlZm[Z[ ddl\m]Z]m^Z^ ddl_m`Z`maZa ddlbmcZcmdZd ddlemfZf ddlgmhZh ddlimjZj ddlkmlZl ddlmmnZn ddlompZp ddlqmrZr ddlsmtZtmuZu ddlvmwZwmxZx ddlymzZzm{Z{ ddl|m}Z} ddӐl~mZmZmZmZ ddՐlmZmZmZmZ ddlmZ dd lmZ dd!lmZ dd"lmZmZ dd#lmZ dd$lmZmZ dd%lmZ dd&lmZ dd'lmZ dd(lmZ dd)lmZ ddlmZmZmZmZ dd*lmZmZ dd+lmZ dd,lmZ dd-lmZ dd.lmZmZ dd/lmZ dd0lmZ dd1lmZmZ ddlmZmZmZ dd2lmZ dd3lmZmZ ddlmZmÐZÐmĐZ dd4lŐmƐZ dd5lǐmȐZ dd6lɐmʐZ dd7lːm̐Z dd8l͐mΐZ dd9lϐmАZАmѐZ dd:lҐmӐZ dd;lԐmՐZՐm֐Z dd<lאmؐZؐmِZ dd=lڐmېZېmܐZ dd>lݐmސZ dd'lߐmZmZmZmZmZ dd)lmZmZmZ dd?lmZ dd@lmZ ddAlmZ ddBlmZ ddClmZ dd5lmZmZmZmZ ddDlmZ dd9lmZmZmZ dd;lmZm Z mZmZ ddElmZmZ ddFlmZmZ ddGl	m
Z
 ddHlmZ ddIlmZ ddJlmZ ddKlmZ ddLlmZ ddMlmZ ddNlmZ ddOlmZ ddPlmZ ddQlmZmZ ddRl m!Z! ddSl"m#Z# ddTl$m%Z% ddUl&m'Z'm(Z( ddVl)m*Z*m+Z+ ddWl,m-Z-m.Z. ddXl/m0Z0 ddYl1m2Z2 ddZl3m4Z4 dd[l5m6Z6m7Z7 dd\l8m9Z9 dd]l:m;Z; dd^l<m=Z= ddxl>m?Z?m@Z@mAZAmBZB dd_lCmDZD dd`lEmFZF ddalGmHZHmIZI ddblJmKZK ddclLmMZM dddlNmOZO ddelPmQZQ ddflRmSZS ddglTmUZU ddhlVmWZWmXZX ddilYmZZZ ddl[m\Z\m]Z]m^Z^m_Z_m`Z` ddjlambZbmcZc ddkldmeZe ddllfmgZg ddmlhmiZi ddnljmkZk ddllmmZmmnZnmoZompZp ddlqmrZrmsZsmtZtmuZu ddolvmwZw ddplxmyZymzZz ddql{m|Z| ddrl}m~Z~ ddslmZ ddtlmZ ddulmZ ddvlmZ ddwlmZ ddxlmZ ddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddylmZ ddzlmZ ddlmZmZmZmZmZmZ ddÐlmZmZmZmZmZmZmZ ddŐlmÐZÐmĐZĐmŐZŐmƐZƐmǐZ dd{lȐmɐZ dd|lʐmːZ dd}l̐m͐Z dd~lmΐZΐmϐZϐmАZАmѐZѐmҐZҐmӐZӐmԐZԐmՐZՐm֐Z֐mאZאmؐZؐmِZِmڐZڐmېZmZmܐZܐmݐZm
Z
mZmސZސmߐZߐmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddϐlmZmZmZmZmZmZmZmZmZmZmZ 	  e       s e       	 ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlܐmZ ddl mZ ddlmZ ddl#mZ ddl/mZ ddlemZ ddlmZ ddlmZ ddl	m
Z
 ddl mZ ddl	mZ ddl"mZ ddl(mZ ddl4mZ ddlmZ ddlmZ ddlZmZ ddlmZ ddlmZ ddlmZ ddlǐmZ ddlːmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddl,mZ ddlvm Z  ddl{m!Z! ddlm"Z" 	  e       s e       	 ddlm$Z$ ddlm%Z% ddlm&Z& ddlm'Z' ddlm(Z( ddlm)Z) ddlÐm*Z* ddlАm+Z+ ddlܐm,Z, ddlm-Z- ddl m.Z. ddlm/Z/ ddlm0Z0 ddlm1Z1 ddlm2Z2 ddl m3Z3 ddl#m4Z4 ddlKm5Z5 ddlNm6Z6 ddlom7Z7 dd
lum8Z8m9Z9m:Z: ddlm;Z; ddlm<Z< ddlm=Z= ddlm>Z> ddlm?Z? ddlm@Z@ ddlmAZA ddlΐmBZB ddlmCZC ddlmDZD ddlmEZE ddÐl mFZF ddĐlmGZG ddŐl	mHZH ddƐlmIZI ddǐlmJZJ ddȐl*mKZK ddɐl4mLZL ddʐlmMZM ddːlEmNZN dd̐lSmOZO dd͐lZmPZP ddΐlbmQZQ ddϐlmRZR ddАlkmSZS ddѐlymTZT ddҐlmUZU ddӐlmVZV ddԐlǐmWZW ddՐlːmXZX dd֐lϐmYZY ddאlאmZZZ ddؐlm[Z[ ddِlm\Z\ ddڐlm]Z] ddېlm^Z^ ddܐl,m_Z_ ddݐllm`Z` ddސlvmaZa ddߐl{mbZb ddlmcZc ddldmeZe 	  e       r e       s e       	 ddlgmhZhmgZg 	  e       s e       	 ddlmjZj 	  e       s e       	 ddlmlZl 	  e       s e       	 ddlnmoZo ddlpmqZq ddlrmsZs ddlmtZtmuZu ddlmvZv ddlƐmwZw ddlҐmxZx ddlmyZy ddlmzZzm{Z{ ddlm|Z|m}Z} ddlm~Z~mZ ddlmZmZ ddl'mZmZ ddl)mZmZ ddl+mZ ddl-mZ ddl]mZ ddlcmZ dd^limZmZmZ ddlrmZmZ ddl{mZmZ ddl}mZ dddlmZmZmZ ddlmZmZ ddlmZmZ ddlǐmZ ddl֐mZ ddlؐmZ ddlڐmZ dd lܐmZmZ ddlmZ ddlmZmZ ddlmZmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddl/mZ dd	l1mZmZ dd
lBmZ ddlHmZmZ ddlJmZmZ ddlLmZmZ ddlkmZ ddlvmZ ddl~mZ ddlmZmZ ddlmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZ ddlmZ ddlڐmZ ddlߐmZ ddlmZmZ ddlmZ ddlmZ ddlmÐZ ddlmĐZ ddl)mŐZ dd l:mƐZ dd!l<mǐZǐmȐZ ddl>m@Z@mAZAmBZB dd"lLmɐZɐmʐZ dd#lTmːZ dd$lYm̐Z dd%lm͐Z͐mΐZ dd&lmϐZ 	  e       s e       	 dd'lѐmҐZ dd(lLmӐZ 	  e       s e       	 dd)lՐm֐Z dd*lאmؐZ ddlِmڐZڐmېZېmܐZܐmݐZݐmސZސmߐZߐmZmZmZmZmZmZmZmZmZ ddlmZmZmZmZmZmZmZmZmZ ddlfmZmZmZmZmZmZmZmZmZmZmZmZmZm Z mZmZmZmZmZmZmZmZm	Z	m
Z
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l Y _w xY w# e$ r ddlk Y w xY w# e$ r ddlo Y w xY w# e$ r ddlr Y w xY w# e$ r ddlH Y Ww xY w(j  z4.46.3    )TYPE_CHECKING   )dependency_versions_check)OptionalDependencyNotAvailable_LazyModuleis_bitsandbytes_availableis_essentia_availableis_flax_availableis_g2p_en_availableis_keras_nlp_availableis_librosa_availableis_pretty_midi_availableis_scipy_availableis_sentencepiece_availableis_speech_availableis_tensorflow_text_availableis_tf_availableis_timm_availableis_tokenizers_availableis_torch_availableis_torchaudio_availableis_torchvision_availableis_vision_availableloggingagents)Agent	CodeAgentHfApiEngineManagedAgentPipelineTool
ReactAgentReactCodeAgentReactJsonAgentToolToolboxToolCollectionTransformersEnginelaunch_gradio_demo	load_toolstream_to_gradiotoolaudio_utils	benchmarkcommandsconfiguration_utilsPretrainedConfigconvert_graph_to_onnx+convert_slow_tokenizers_checkpoints_to_fast)convert_tf_hub_seq_to_seq_bert_to_pytorchdata)DataProcessorInputExampleInputFeatures%SingleSentenceClassificationProcessorSquadExampleSquadFeaturesSquadV1ProcessorSquadV2Processorglue_compute_metrics!glue_convert_examples_to_featuresglue_output_modesglue_processorsglue_tasks_num_labels"squad_convert_examples_to_featuresxnli_compute_metricsxnli_output_modesxnli_processorsxnli_tasks_num_labelszdata.data_collator)DataCollatorDataCollatorForLanguageModeling*DataCollatorForPermutationLanguageModelingDataCollatorForSeq2SeqDataCollatorForSOP"DataCollatorForTokenClassificationDataCollatorForWholeWordMaskDataCollatorWithFlatteningDataCollatorWithPaddingDefaultDataCollatordefault_data_collatorzdata.metricszdata.processorsdebug_utilsr   dependency_versions_tabledynamic_module_utils!feature_extraction_sequence_utilsSequenceFeatureExtractorfeature_extraction_utilsBatchFeatureFeatureExtractionMixin
file_utils
generation)GenerationConfigTextIteratorStreamerTextStreamerWatermarkingConfighf_argparserHfArgumentParserhyperparameter_searchimage_transformsintegrations)
is_clearml_availableis_comet_availableis_dvclive_availableis_neptune_availableis_optuna_availableis_ray_availableis_ray_tune_availableis_sigopt_availableis_tensorboard_availableis_wandb_availableloss	modelcard	ModelCardmodeling_tf_pytorch_utils)(convert_tf_weight_name_to_pt_weight_name$load_pytorch_checkpoint_in_tf2_modelload_pytorch_model_in_tf2_model!load_pytorch_weights_in_tf2_model$load_tf2_checkpoint_in_pytorch_modelload_tf2_model_in_pytorch_model!load_tf2_weights_in_pytorch_modelmodelszmodels.albertAlbertConfigzmodels.align)AlignConfigAlignProcessorAlignTextConfigAlignVisionConfigzmodels.altclip)AltCLIPConfigAltCLIPProcessorAltCLIPTextConfigAltCLIPVisionConfigz$models.audio_spectrogram_transformer	ASTConfigASTFeatureExtractorzmodels.auto)CONFIG_MAPPINGFEATURE_EXTRACTOR_MAPPINGIMAGE_PROCESSOR_MAPPINGMODEL_NAMES_MAPPINGPROCESSOR_MAPPINGTOKENIZER_MAPPING
AutoConfigAutoFeatureExtractorAutoImageProcessorAutoProcessorAutoTokenizerzmodels.autoformerAutoformerConfigzmodels.bark)BarkCoarseConfig
BarkConfigBarkFineConfigBarkProcessorBarkSemanticConfigzmodels.bart
BartConfigBartTokenizerzmodels.barthezzmodels.bartphozmodels.beit
BeitConfigzmodels.bert)BasicTokenizer
BertConfigBertTokenizerWordpieceTokenizerzmodels.bert_generationBertGenerationConfigzmodels.bert_japanese)BertJapaneseTokenizerCharacterTokenizerMecabTokenizerzmodels.bertweetBertweetTokenizerzmodels.big_birdBigBirdConfigzmodels.bigbird_pegasusBigBirdPegasusConfigzmodels.biogptBioGptConfigBioGptTokenizerz
models.bit	BitConfigzmodels.blenderbotBlenderbotConfigBlenderbotTokenizerzmodels.blenderbot_smallBlenderbotSmallConfigBlenderbotSmallTokenizerzmodels.blip)
BlipConfigBlipProcessorBlipTextConfigBlipVisionConfigzmodels.blip_2)Blip2ConfigBlip2ProcessorBlip2QFormerConfigBlip2VisionConfigzmodels.bloomBloomConfigzmodels.bridgetower)BridgeTowerConfigBridgeTowerProcessorBridgeTowerTextConfigBridgeTowerVisionConfigzmodels.bros
BrosConfigBrosProcessorzmodels.byt5ByT5Tokenizerzmodels.camembertCamembertConfigzmodels.canineCanineConfigCanineTokenizerzmodels.chameleon)ChameleonConfigChameleonProcessorChameleonVQVAEConfigzmodels.chinese_clip)ChineseCLIPConfigChineseCLIPProcessorChineseCLIPTextConfigChineseCLIPVisionConfigzmodels.clap)ClapAudioConfig
ClapConfigClapProcessorClapTextConfigzmodels.clip)
CLIPConfigCLIPProcessorCLIPTextConfigCLIPTokenizerCLIPVisionConfigzmodels.clipseg)CLIPSegConfigCLIPSegProcessorCLIPSegTextConfigCLIPSegVisionConfigzmodels.clvp)
ClvpConfigClvpDecoderConfigClvpEncoderConfigClvpFeatureExtractorClvpProcessorClvpTokenizerzmodels.code_llamazmodels.codegenCodeGenConfigCodeGenTokenizerzmodels.cohereCohereConfigzmodels.conditional_detrConditionalDetrConfigzmodels.convbertConvBertConfigConvBertTokenizerzmodels.convnextConvNextConfigzmodels.convnextv2ConvNextV2Configz
models.cpmzmodels.cpmantCpmAntConfigCpmAntTokenizerzmodels.ctrl
CTRLConfigCTRLTokenizerz
models.cvt	CvtConfigz
models.dac	DacConfigDacFeatureExtractorzmodels.data2vec)Data2VecAudioConfigData2VecTextConfigData2VecVisionConfigzmodels.dbrx
DbrxConfigzmodels.debertaDebertaConfigDebertaTokenizerzmodels.deberta_v2DebertaV2Configzmodels.decision_transformerDecisionTransformerConfigzmodels.deformable_detrDeformableDetrConfigzmodels.deit
DeiTConfigzmodels.deprecatedzmodels.deprecated.bortzmodels.deprecated.deta
DetaConfigz!models.deprecated.efficientformerEfficientFormerConfigzmodels.deprecated.ernie_mErnieMConfigz!models.deprecated.gptsan_japaneseGPTSanJapaneseConfigGPTSanJapaneseTokenizerzmodels.deprecated.graphormerGraphormerConfigzmodels.deprecated.jukebox)JukeboxConfigJukeboxPriorConfigJukeboxTokenizerJukeboxVQVAEConfigzmodels.deprecated.mctct)MCTCTConfigMCTCTFeatureExtractorMCTCTProcessorzmodels.deprecated.mega
MegaConfigzmodels.deprecated.mmbt
MMBTConfigzmodels.deprecated.nat	NatConfigzmodels.deprecated.nezhaNezhaConfigzmodels.deprecated.open_llamaOpenLlamaConfigzmodels.deprecated.qdqbertQDQBertConfigzmodels.deprecated.realmRealmConfigRealmTokenizerzmodels.deprecated.retribertRetriBertConfigRetriBertTokenizerz"models.deprecated.speech_to_text_2)Speech2Text2ConfigSpeech2Text2ProcessorSpeech2Text2Tokenizerzmodels.deprecated.tapexTapexTokenizerz(models.deprecated.trajectory_transformerTrajectoryTransformerConfigzmodels.deprecated.transfo_xl)TransfoXLConfigTransfoXLCorpusTransfoXLTokenizerzmodels.deprecated.tvlt)
TvltConfigTvltFeatureExtractorTvltProcessorzmodels.deprecated.van	VanConfigzmodels.deprecated.vit_hybridViTHybridConfigz models.deprecated.xlm_prophetnetXLMProphetNetConfigzmodels.depth_anythingDepthAnythingConfigzmodels.detr
DetrConfigzmodels.dialogptzmodels.dinatDinatConfigzmodels.dinov2Dinov2Configzmodels.distilbertDistilBertConfigDistilBertTokenizerz
models.ditzmodels.donutDonutProcessorDonutSwinConfigz
models.dpr)	DPRConfigDPRContextEncoderTokenizerDPRQuestionEncoderTokenizerDPRReaderOutputDPRReaderTokenizerz
models.dpt	DPTConfigzmodels.efficientnetEfficientNetConfigzmodels.electraElectraConfigElectraTokenizerzmodels.encodecEncodecConfigEncodecFeatureExtractorzmodels.encoder_decoderEncoderDecoderConfigzmodels.ernieErnieConfigz
models.esm	EsmConfigEsmTokenizerzmodels.falconFalconConfigzmodels.falcon_mambaFalconMambaConfigzmodels.fastspeech2_conformer)FastSpeech2ConformerConfig!FastSpeech2ConformerHifiGanConfigFastSpeech2ConformerTokenizer%FastSpeech2ConformerWithHifiGanConfigzmodels.flaubertFlaubertConfigFlaubertTokenizerzmodels.flava)FlavaConfigFlavaImageCodebookConfigFlavaImageConfigFlavaMultimodalConfigFlavaTextConfigzmodels.fnet
FNetConfigzmodels.focalnetFocalNetConfigzmodels.fsmt
FSMTConfigFSMTTokenizerzmodels.funnelFunnelConfigFunnelTokenizerzmodels.fuyu
FuyuConfigzmodels.gemmaGemmaConfigzmodels.gemma2Gemma2Configz
models.git)	GitConfigGitProcessorGitVisionConfigz
models.glm	GlmConfigzmodels.glpn
GLPNConfigzmodels.gpt2
GPT2ConfigGPT2Tokenizerzmodels.gpt_bigcodeGPTBigCodeConfigzmodels.gpt_neoGPTNeoConfigzmodels.gpt_neoxGPTNeoXConfigzmodels.gpt_neox_japaneseGPTNeoXJapaneseConfigzmodels.gpt_sw3zmodels.gptj
GPTJConfigzmodels.graniteGraniteConfigzmodels.granitemoeGraniteMoeConfigzmodels.grounding_dinoGroundingDinoConfigGroundingDinoProcessorzmodels.groupvit)GroupViTConfigGroupViTTextConfigGroupViTVisionConfigzmodels.herbertHerbertTokenizerzmodels.hieraHieraConfigzmodels.hubertHubertConfigzmodels.ibertIBertConfigzmodels.ideficsIdeficsConfigzmodels.idefics2Idefics2Configzmodels.idefics3Idefics3Configzmodels.imagegptImageGPTConfigzmodels.informerInformerConfigzmodels.instructblip)InstructBlipConfigInstructBlipProcessorInstructBlipQFormerConfigInstructBlipVisionConfigzmodels.instructblipvideo)InstructBlipVideoConfigInstructBlipVideoProcessorInstructBlipVideoQFormerConfigInstructBlipVideoVisionConfigzmodels.jambaJambaConfigzmodels.jetmoeJetMoeConfigzmodels.kosmos2Kosmos2ConfigKosmos2Processorzmodels.layoutlmLayoutLMConfigLayoutLMTokenizerzmodels.layoutlmv2)LayoutLMv2ConfigLayoutLMv2FeatureExtractorLayoutLMv2ImageProcessorLayoutLMv2ProcessorLayoutLMv2Tokenizerzmodels.layoutlmv3)LayoutLMv3ConfigLayoutLMv3FeatureExtractorLayoutLMv3ImageProcessorLayoutLMv3ProcessorLayoutLMv3Tokenizerzmodels.layoutxlmLayoutXLMProcessorz
models.led	LEDConfigLEDTokenizerzmodels.levitLevitConfigzmodels.lilt
LiltConfigzmodels.llamaLlamaConfigzmodels.llavaLlavaConfigLlavaProcessorzmodels.llava_nextLlavaNextConfigLlavaNextProcessorzmodels.llava_next_videoLlavaNextVideoConfigLlavaNextVideoProcessorzmodels.llava_onevisionLlavaOnevisionConfigLlavaOnevisionProcessorzmodels.longformerLongformerConfigLongformerTokenizerzmodels.longt5LongT5Configzmodels.luke
LukeConfigLukeTokenizerzmodels.lxmertLxmertConfigLxmertTokenizerzmodels.m2m_100M2M100Configzmodels.mambaMambaConfigzmodels.mamba2Mamba2Configzmodels.marianMarianConfigzmodels.markuplm)MarkupLMConfigMarkupLMFeatureExtractorMarkupLMProcessorMarkupLMTokenizerzmodels.mask2formerMask2FormerConfigzmodels.maskformerMaskFormerConfigMaskFormerSwinConfigzmodels.mbartMBartConfigzmodels.mbart50zmodels.megatron_bertMegatronBertConfigzmodels.megatron_gpt2zmodels.mgp_str)MgpstrConfigMgpstrProcessorMgpstrTokenizerzmodels.mimi
MimiConfigzmodels.mistralMistralConfigzmodels.mixtralMixtralConfigzmodels.mllamaMllamaConfigMllamaProcessorzmodels.mlukezmodels.mobilebertMobileBertConfigMobileBertTokenizerzmodels.mobilenet_v1MobileNetV1Configzmodels.mobilenet_v2MobileNetV2Configzmodels.mobilevitMobileViTConfigzmodels.mobilevitv2MobileViTV2Configzmodels.moshiMoshiConfigMoshiDepthConfigzmodels.mpnetMPNetConfigMPNetTokenizerz
models.mpt	MptConfigz
models.mra	MraConfigz
models.mt5	MT5Configzmodels.musicgenMusicgenConfigMusicgenDecoderConfigzmodels.musicgen_melodyMusicgenMelodyConfigMusicgenMelodyDecoderConfigz
models.mvp	MvpConfigMvpTokenizerzmodels.myt5MyT5Tokenizerzmodels.nemotronNemotronConfigzmodels.nllbzmodels.nllb_moeNllbMoeConfigzmodels.nougatNougatProcessorzmodels.nystromformerNystromformerConfigzmodels.olmo
OlmoConfigzmodels.olmoeOlmoeConfigzmodels.omdet_turboOmDetTurboConfigOmDetTurboProcessorzmodels.oneformerOneFormerConfigOneFormerProcessorzmodels.openaiOpenAIGPTConfigOpenAIGPTTokenizerz
models.opt	OPTConfigzmodels.owlv2)Owlv2ConfigOwlv2ProcessorOwlv2TextConfigOwlv2VisionConfigzmodels.owlvit)OwlViTConfigOwlViTProcessorOwlViTTextConfigOwlViTVisionConfigzmodels.paligemmaPaliGemmaConfigzmodels.patchtsmixerPatchTSMixerConfigzmodels.patchtstPatchTSTConfigzmodels.pegasusPegasusConfigPegasusTokenizerzmodels.pegasus_xPegasusXConfigzmodels.perceiverPerceiverConfigPerceiverTokenizerzmodels.persimmonPersimmonConfigz
models.phi	PhiConfigzmodels.phi3
Phi3Configzmodels.phimoePhimoeConfigzmodels.phobertPhobertTokenizerzmodels.pix2struct)Pix2StructConfigPix2StructProcessorPix2StructTextConfigPix2StructVisionConfigzmodels.pixtralPixtralProcessorPixtralVisionConfigzmodels.plbartPLBartConfigzmodels.poolformerPoolFormerConfigzmodels.pop2pianoPop2PianoConfigzmodels.prophetnetProphetNetConfigProphetNetTokenizerz
models.pvt	PvtConfigzmodels.pvt_v2PvtV2Configzmodels.qwen2Qwen2ConfigQwen2Tokenizerzmodels.qwen2_audio)Qwen2AudioConfigQwen2AudioEncoderConfigQwen2AudioProcessorzmodels.qwen2_moeQwen2MoeConfigzmodels.qwen2_vlQwen2VLConfigQwen2VLProcessorz
models.rag)	RagConfigRagRetrieverRagTokenizerzmodels.recurrent_gemmaRecurrentGemmaConfigzmodels.reformerReformerConfigzmodels.regnetRegNetConfigzmodels.rembertRemBertConfigzmodels.resnetResNetConfigzmodels.robertaRobertaConfigRobertaTokenizerzmodels.roberta_prelayernormRobertaPreLayerNormConfigzmodels.roc_bertRoCBertConfigRoCBertTokenizerzmodels.roformerRoFormerConfigRoFormerTokenizerzmodels.rt_detrRTDetrConfigRTDetrResNetConfigzmodels.rwkv
RwkvConfigz
models.sam)	SamConfigSamMaskDecoderConfigSamProcessorSamPromptEncoderConfigSamVisionConfigzmodels.seamless_m4t)SeamlessM4TConfigSeamlessM4TFeatureExtractorSeamlessM4TProcessorzmodels.seamless_m4t_v2SeamlessM4Tv2Configzmodels.segformerSegformerConfigzmodels.seggptSegGptConfigz
models.sew	SEWConfigzmodels.sew_d
SEWDConfigzmodels.siglip)SiglipConfigSiglipProcessorSiglipTextConfigSiglipVisionConfigzmodels.speech_encoder_decoderSpeechEncoderDecoderConfigzmodels.speech_to_text)Speech2TextConfigSpeech2TextFeatureExtractorSpeech2TextProcessorzmodels.speecht5)SpeechT5ConfigSpeechT5FeatureExtractorSpeechT5HifiGanConfigSpeechT5Processorzmodels.splinterSplinterConfigSplinterTokenizerzmodels.squeezebertSqueezeBertConfigSqueezeBertTokenizerzmodels.stablelmStableLmConfigzmodels.starcoder2Starcoder2Configzmodels.superpointSuperPointConfigzmodels.swiftformerSwiftFormerConfigzmodels.swin
SwinConfigzmodels.swin2srSwin2SRConfigzmodels.swinv2Swinv2Configzmodels.switch_transformersSwitchTransformersConfigz	models.t5T5Configzmodels.table_transformerTableTransformerConfigzmodels.tapasTapasConfigTapasTokenizerzmodels.time_series_transformerTimeSeriesTransformerConfigzmodels.timesformerTimesformerConfigzmodels.timm_backboneTimmBackboneConfigzmodels.trocrTrOCRConfigTrOCRProcessorz
models.tvp	TvpConfigTvpProcessorzmodels.udop
UdopConfigUdopProcessorzmodels.umt5
UMT5Configzmodels.unispeechUniSpeechConfigzmodels.unispeech_satUniSpeechSatConfigzmodels.univnetUnivNetConfigUnivNetFeatureExtractorzmodels.upernetUperNetConfigzmodels.video_llavaVideoLlavaConfigzmodels.videomaeVideoMAEConfigzmodels.vilt)
ViltConfigViltFeatureExtractorViltImageProcessorViltProcessorzmodels.vipllavaVipLlavaConfigzmodels.vision_encoder_decoderVisionEncoderDecoderConfigzmodels.vision_text_dual_encoderVisionTextDualEncoderConfigVisionTextDualEncoderProcessorzmodels.visual_bertVisualBertConfigz
models.vit	ViTConfigzmodels.vit_maeViTMAEConfigzmodels.vit_msnViTMSNConfigzmodels.vitdetVitDetConfigzmodels.vitmatteVitMatteConfigzmodels.vits
VitsConfigVitsTokenizerzmodels.vivitVivitConfigzmodels.wav2vec2)Wav2Vec2ConfigWav2Vec2CTCTokenizerWav2Vec2FeatureExtractorWav2Vec2ProcessorWav2Vec2Tokenizerzmodels.wav2vec2_bertWav2Vec2BertConfigWav2Vec2BertProcessorzmodels.wav2vec2_conformerWav2Vec2ConformerConfigzmodels.wav2vec2_phonemeWav2Vec2PhonemeCTCTokenizerzmodels.wav2vec2_with_lmWav2Vec2ProcessorWithLMzmodels.wavlmWavLMConfigzmodels.whisper)WhisperConfigWhisperFeatureExtractorWhisperProcessorWhisperTokenizerzmodels.x_clip)XCLIPConfigXCLIPProcessorXCLIPTextConfigXCLIPVisionConfigzmodels.xglm
XGLMConfigz
models.xlm	XLMConfigXLMTokenizerzmodels.xlm_robertaXLMRobertaConfigzmodels.xlm_roberta_xlXLMRobertaXLConfigzmodels.xlnetXLNetConfigzmodels.xmod
XmodConfigzmodels.yolosYolosConfigzmodels.yoso
YosoConfigzmodels.zambaZambaConfigzmodels.zoedepthZoeDepthConfigonnx	pipelines)#AudioClassificationPipeline"AutomaticSpeechRecognitionPipelineCsvPipelineDataFormatDepthEstimationPipeline!DocumentQuestionAnsweringPipelineFeatureExtractionPipelineFillMaskPipelineImageClassificationPipelineImageFeatureExtractionPipelineImageSegmentationPipelineImageToImagePipelineImageToTextPipelineJsonPipelineDataFormatMaskGenerationPipelineNerPipelineObjectDetectionPipelinePipedPipelineDataFormatPipelinePipelineDataFormatQuestionAnsweringPipelineSummarizationPipelineTableQuestionAnsweringPipelineText2TextGenerationPipelineTextClassificationPipelineTextGenerationPipelineTextToAudioPipelineTokenClassificationPipelineTranslationPipelineVideoClassificationPipelineVisualQuestionAnsweringPipeline#ZeroShotAudioClassificationPipelineZeroShotClassificationPipeline#ZeroShotImageClassificationPipelineZeroShotObjectDetectionPipelinepipelineprocessing_utilsProcessorMixin
quantizerstesting_utilstokenization_utilsPreTrainedTokenizertokenization_utils_base)
AddedTokenBatchEncodingCharSpanPreTrainedTokenizerBaseSpecialTokensMixin	TokenSpantrainer_callback)DefaultFlowCallbackEarlyStoppingCallbackPrinterCallbackProgressCallbackTrainerCallbackTrainerControlTrainerStatetrainer_utils)EvalPredictionIntervalStrategySchedulerTypeenable_full_determinismset_seedtraining_argsTrainingArgumentstraining_args_seq2seqSeq2SeqTrainingArgumentstraining_args_tfTFTrainingArgumentsutils),CONFIG_NAMEMODEL_CARD_NAMEPYTORCH_PRETRAINED_BERT_CACHEPYTORCH_TRANSFORMERS_CACHESPIECE_UNDERLINETF2_WEIGHTS_NAMETF_WEIGHTS_NAMETRANSFORMERS_CACHEWEIGHTS_NAME
TensorTypeadd_end_docstringsadd_start_docstringsis_apex_availableis_av_availabler   is_datasets_availableis_faiss_availabler
   r   is_phonemizer_availableis_psutil_availableis_py3nvml_availableis_pyctcdecode_availableis_sacremoses_availableis_safetensors_availabler   r   is_sklearn_availabler   r   r   r   r   r   is_torch_mlu_availableis_torch_musa_availableis_torch_neuroncore_availableis_torch_npu_availableis_torch_tpu_availabler   is_torch_xla_availableis_torch_xpu_availabler   r   zutils.quantization_config)
AqlmConfig	AwqConfigBitNetConfigBitsAndBytesConfigCompressedTensorsConfig
EetqConfigFbgemmFp8Config
GPTQConfig	HqqConfigQuantoConfigTorchAoConfigAlbertTokenizerBarthezTokenizerBartphoTokenizerBertGenerationTokenizerBigBirdTokenizerCamembertTokenizerCodeLlamaTokenizerCpmTokenizerDebertaV2TokenizerErnieMTokenizerXLMProphetNetTokenizerFNetTokenizerGemmaTokenizerGPTSw3TokenizerLayoutXLMTokenizerLlamaTokenizerM2M100TokenizerMarianTokenizerMBartTokenizerMBart50TokenizerMLukeTokenizerMT5TokenizerNllbTokenizerPLBartTokenizerReformerTokenizerRemBertTokenizerSeamlessM4TTokenizerSiglipTokenizerSpeech2TextTokenizerSpeechT5TokenizerT5TokenizerUdopTokenizerXGLMTokenizerXLMRobertaTokenizerXLNetTokenizer)dummy_sentencepiece_objects_z!utils.dummy_sentencepiece_objectsAlbertTokenizerFastBartTokenizerFastBarthezTokenizerFastBertTokenizerFastBigBirdTokenizerFastBlenderbotTokenizerFastBlenderbotSmallTokenizerFastBloomTokenizerFastCamembertTokenizerFastCLIPTokenizerFastCodeLlamaTokenizerFastCodeGenTokenizerFastCohereTokenizerFastConvBertTokenizerFastCpmTokenizerFastDebertaTokenizerFastDebertaV2TokenizerFastRealmTokenizerFastRetriBertTokenizerFastDistilBertTokenizerFast)DPRContextEncoderTokenizerFastDPRQuestionEncoderTokenizerFastDPRReaderTokenizerFastElectraTokenizerFastFNetTokenizerFastFunnelTokenizerFastGemmaTokenizerFastGPT2TokenizerFastGPTNeoXTokenizerFastGPTNeoXJapaneseTokenizerHerbertTokenizerFastLayoutLMTokenizerFastLayoutLMv2TokenizerFastLayoutLMv3TokenizerFastLayoutXLMTokenizerFastLEDTokenizerFastLlamaTokenizerFastLongformerTokenizerFastLxmertTokenizerFastMarkupLMTokenizerFastMBartTokenizerFastMBart50TokenizerFastMobileBertTokenizerFastMPNetTokenizerFastMT5TokenizerFastMvpTokenizerFastNllbTokenizerFastNougatTokenizerFastOpenAIGPTTokenizerFastPegasusTokenizerFastQwen2TokenizerFastReformerTokenizerFastRemBertTokenizerFastRobertaTokenizerFastRoFormerTokenizerFastSeamlessM4TTokenizerFastSplinterTokenizerFastSqueezeBertTokenizerFastT5TokenizerFastUdopTokenizerFastWhisperTokenizerFastXGLMTokenizerFastXLMRobertaTokenizerFastXLNetTokenizerFastPreTrainedTokenizerFasttokenization_utils_fast)dummy_tokenizers_objectszutils.dummy_tokenizers_objectsSLOW_TO_FAST_CONVERTERSconvert_slow_tokenizer)*dummy_sentencepiece_and_tokenizers_objectsz0utils.dummy_sentencepiece_and_tokenizers_objectsTFBertTokenizer)dummy_tensorflow_text_objectsz#utils.dummy_tensorflow_text_objectsTFGPT2Tokenizer)dummy_keras_nlp_objectszutils.dummy_keras_nlp_objectsImageProcessingMixinimage_processing_baseBaseImageProcessorimage_processing_utilsImageFeatureExtractionMixinimage_utilsBeitFeatureExtractorBeitImageProcessorBitImageProcessorBlipImageProcessorBridgeTowerImageProcessorChameleonImageProcessorChineseCLIPFeatureExtractorChineseCLIPImageProcessorCLIPFeatureExtractorCLIPImageProcessorConditionalDetrFeatureExtractorConditionalDetrImageProcessorConvNextFeatureExtractorConvNextImageProcessorDeformableDetrFeatureExtractorDeformableDetrImageProcessorDeiTFeatureExtractorDeiTImageProcessorDetaImageProcessorEfficientFormerImageProcessorTvltImageProcessorViTHybridImageProcessor)DetrFeatureExtractorDetrImageProcessorDetrImageProcessorFastDonutFeatureExtractorDonutImageProcessorDPTFeatureExtractorDPTImageProcessorEfficientNetImageProcessor)FlavaFeatureExtractorFlavaImageProcessorFlavaProcessorFuyuImageProcessorFuyuProcessorGLPNFeatureExtractorGLPNImageProcessorGroundingDinoImageProcessorIdeficsImageProcessorIdefics2ImageProcessorIdefics3ImageProcessorImageGPTFeatureExtractorImageGPTImageProcessorInstructBlipVideoImageProcessorro  rp  rt  ru  LevitFeatureExtractorLevitImageProcessorLlavaNextImageProcessorLlavaNextVideoImageProcessorLlavaOnevisionImageProcessorLlavaOnevisionVideoProcessorMask2FormerImageProcessorMaskFormerFeatureExtractorMaskFormerImageProcessorMllamaImageProcessorMobileNetV1FeatureExtractorMobileNetV1ImageProcessorMobileNetV2FeatureExtractorMobileNetV2ImageProcessorMobileViTFeatureExtractorMobileViTImageProcessorNougatImageProcessorOneFormerImageProcessorOwlv2ImageProcessorOwlViTFeatureExtractorOwlViTImageProcessorPerceiverFeatureExtractorPerceiverImageProcessorPix2StructImageProcessorPixtralImageProcessorPoolFormerFeatureExtractorPoolFormerImageProcessorPvtImageProcessorQwen2VLImageProcessorRTDetrImageProcessorSamImageProcessorSegformerFeatureExtractorSegformerImageProcessorSegGptImageProcessorSiglipImageProcessorSuperPointImageProcessorSwin2SRImageProcessorTvpImageProcessorVideoLlavaImageProcessorVideoMAEFeatureExtractorVideoMAEImageProcessor)r:  r;  r<  ViTFeatureExtractorViTImageProcessorVitMatteImageProcessorVivitImageProcessorYolosFeatureExtractorYolosImageProcessorZoeDepthImageProcessor)dummy_vision_objectszutils.dummy_vision_objectsBaseImageProcessorFastimage_processing_utils_fastViTImageProcessorFast)dummy_torchvision_objectszutils.dummy_torchvision_objectsactivationsPyTorchBenchmarkzbenchmark.benchmarkPyTorchBenchmarkArgumentszbenchmark.benchmark_args)CacheCacheConfigDynamicCacheEncoderDecoderCacheHQQQuantizedCacheHybridCache
MambaCacheOffloadedCacheOffloadedStaticCacheQuantizedCacheQuantizedCacheConfigQuantoQuantizedCache	SinkCacheSlidingWindowCacheStaticCachecache_utils)	GlueDatasetGlueDataTrainingArgumentsLineByLineTextDatasetLineByLineWithRefDatasetLineByLineWithSOPTextDatasetSquadDatasetSquadDataTrainingArgumentsTextDataset$TextDatasetForNextSentencePredictionzdata.datasets)4#AlternatingCodebooksLogitsProcessorBayesianDetectorConfigBayesianDetectorModel
BeamScorerBeamSearchScorer%ClassifierFreeGuidanceLogitsProcessorConstrainedBeamSearchScorer
ConstraintConstraintListStateDisjunctiveConstraint#EncoderNoRepeatNGramLogitsProcessor'EncoderRepetitionPenaltyLogitsProcessorEosTokenCriteriaEpsilonLogitsWarperEtaLogitsWarperExponentialDecayLengthPenaltyForcedBOSTokenLogitsProcessorForcedEOSTokenLogitsProcessorGenerationMixinHammingDiversityLogitsProcessorInfNanRemoveLogitsProcessorLogitNormalizationLogitsProcessorLogitsProcessorListLogitsWarperMaxLengthCriteriaMaxTimeCriteriaMinLengthLogitsProcessor!MinNewTokensLengthLogitsProcessorMinPLogitsWarperNoBadWordsLogitsProcessorNoRepeatNGramLogitsProcessorPhrasalConstraint PrefixConstrainedLogitsProcessor RepetitionPenaltyLogitsProcessorSequenceBiasLogitsProcessorStoppingCriteriaStoppingCriteriaListStopStringCriteria$SuppressTokensAtBeginLogitsProcessorSuppressTokensLogitsProcessorSynthIDTextWatermarkDetectorSynthIDTextWatermarkingConfig#SynthIDTextWatermarkLogitsProcessorTemperatureLogitsWarperTopKLogitsWarperTopPLogitsWarperTypicalLogitsWarper.UnbatchedClassifierFreeGuidanceLogitsProcessorWatermarkDetectorWatermarkLogitsProcessorWhisperTimeStampLogitsProcessor$TorchExportableModuleWithStaticCacheconvert_and_export_with_cachezintegrations.executorchmodeling_flash_attention_utilsmodeling_outputsROPE_INIT_FUNCTIONSmodeling_rope_utilsPreTrainedModelmodeling_utils)	AlbertForMaskedLMAlbertForMultipleChoiceAlbertForPreTrainingAlbertForQuestionAnsweringAlbertForSequenceClassificationAlbertForTokenClassificationAlbertModelAlbertPreTrainedModelload_tf_weights_in_albert)
AlignModelAlignPreTrainedModelAlignTextModelAlignVisionModel)AltCLIPModelAltCLIPPreTrainedModelAltCLIPTextModelAltCLIPVisionModel)ASTForAudioClassificationASTModelASTPreTrainedModel)R&MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPINGMODEL_FOR_AUDIO_XVECTOR_MAPPINGMODEL_FOR_BACKBONE_MAPPING'MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPINGMODEL_FOR_CAUSAL_LM_MAPPINGMODEL_FOR_CTC_MAPPING"MODEL_FOR_DEPTH_ESTIMATION_MAPPING-MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING&MODEL_FOR_IMAGE_CLASSIFICATION_MAPPINGMODEL_FOR_IMAGE_MAPPING$MODEL_FOR_IMAGE_SEGMENTATION_MAPPING$MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING MODEL_FOR_IMAGE_TO_IMAGE_MAPPING'MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING$MODEL_FOR_KEYPOINT_DETECTION_MAPPING'MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGMODEL_FOR_MASKED_LM_MAPPING!MODEL_FOR_MASK_GENERATION_MAPPING!MODEL_FOR_MULTIPLE_CHOICE_MAPPING*MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"MODEL_FOR_OBJECT_DETECTION_MAPPINGMODEL_FOR_PRETRAINING_MAPPING$MODEL_FOR_QUESTION_ANSWERING_MAPPING'MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING&MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING)MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING"MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING*MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPINGMODEL_FOR_TEXT_ENCODING_MAPPING%MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING"MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING,MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING(MODEL_FOR_TIME_SERIES_REGRESSION_MAPPING&MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING(MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING&MODEL_FOR_VIDEO_CLASSIFICATION_MAPPINGMODEL_FOR_VISION_2_SEQ_MAPPING+MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING0MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPINGMODEL_MAPPINGMODEL_WITH_LM_HEAD_MAPPINGAutoBackbone	AutoModelAutoModelForAudioClassification$AutoModelForAudioFrameClassificationAutoModelForAudioXVectorAutoModelForCausalLMAutoModelForCTCAutoModelForDepthEstimation%AutoModelForDocumentQuestionAnsweringAutoModelForImageClassificationAutoModelForImageSegmentationAutoModelForImageTextToTextAutoModelForImageToImage AutoModelForInstanceSegmentationAutoModelForKeypointDetectionAutoModelForMaskedImageModelingAutoModelForMaskedLMAutoModelForMaskGenerationAutoModelForMultipleChoice"AutoModelForNextSentencePredictionAutoModelForObjectDetectionAutoModelForPreTrainingAutoModelForQuestionAnswering AutoModelForSemanticSegmentationAutoModelForSeq2SeqLM"AutoModelForSequenceClassificationAutoModelForSpeechSeq2Seq"AutoModelForTableQuestionAnsweringAutoModelForTextEncodingAutoModelForTextToSpectrogramAutoModelForTextToWaveformAutoModelForTokenClassification!AutoModelForUniversalSegmentationAutoModelForVideoClassificationAutoModelForVision2Seq#AutoModelForVisualQuestionAnswering'AutoModelForZeroShotImageClassification#AutoModelForZeroShotObjectDetectionAutoModelWithLMHead)AutoformerForPredictionAutoformerModelAutoformerPreTrainedModel)BarkCausalModelBarkCoarseModelBarkFineModel	BarkModelBarkPreTrainedModelBarkSemanticModel)BartForCausalLMBartForConditionalGenerationBartForQuestionAnsweringBartForSequenceClassification	BartModelBartPretrainedModelBartPreTrainedModelPretrainedBartModel)BeitBackboneBeitForImageClassificationBeitForMaskedImageModelingBeitForSemanticSegmentation	BeitModelBeitPreTrainedModel)BertForMaskedLMBertForMultipleChoiceBertForNextSentencePredictionBertForPreTrainingBertForQuestionAnsweringBertForSequenceClassificationBertForTokenClassificationBertLMHeadModel	BertModelBertPreTrainedModelload_tf_weights_in_bert)BertGenerationDecoderBertGenerationEncoderBertGenerationPreTrainedModel"load_tf_weights_in_bert_generation)
BigBirdForCausalLMBigBirdForMaskedLMBigBirdForMultipleChoiceBigBirdForPreTrainingBigBirdForQuestionAnswering BigBirdForSequenceClassificationBigBirdForTokenClassificationBigBirdModelBigBirdPreTrainedModelload_tf_weights_in_big_bird)BigBirdPegasusForCausalLM&BigBirdPegasusForConditionalGeneration"BigBirdPegasusForQuestionAnswering'BigBirdPegasusForSequenceClassificationBigBirdPegasusModelBigBirdPegasusPreTrainedModel)BioGptForCausalLMBioGptForSequenceClassificationBioGptForTokenClassificationBioGptModelBioGptPreTrainedModel)BitBackboneBitForImageClassificationBitModelBitPreTrainedModel)BlenderbotForCausalLM"BlenderbotForConditionalGenerationBlenderbotModelBlenderbotPreTrainedModel)BlenderbotSmallForCausalLM'BlenderbotSmallForConditionalGenerationBlenderbotSmallModelBlenderbotSmallPreTrainedModel)BlipForConditionalGenerationBlipForImageTextRetrievalBlipForQuestionAnswering	BlipModelBlipPreTrainedModelBlipTextModelBlipVisionModel)Blip2ForConditionalGenerationBlip2ForImageTextRetrieval
Blip2ModelBlip2PreTrainedModelBlip2QFormerModelBlip2TextModelWithProjectionBlip2VisionModelBlip2VisionModelWithProjection)BloomForCausalLMBloomForQuestionAnsweringBloomForSequenceClassificationBloomForTokenClassification
BloomModelBloomPreTrainedModel)!BridgeTowerForContrastiveLearning#BridgeTowerForImageAndTextRetrievalBridgeTowerForMaskedLMBridgeTowerModelBridgeTowerPreTrainedModel)BrosForTokenClassification	BrosModelBrosPreTrainedModelr   !BrosSpadeEEForTokenClassification!BrosSpadeELForTokenClassification)CamembertForCausalLMCamembertForMaskedLMCamembertForMultipleChoiceCamembertForQuestionAnswering"CamembertForSequenceClassificationCamembertForTokenClassificationCamembertModelCamembertPreTrainedModel)CanineForMultipleChoiceCanineForQuestionAnsweringCanineForSequenceClassificationCanineForTokenClassificationCanineModelCaninePreTrainedModelload_tf_weights_in_canine)!ChameleonForConditionalGenerationChameleonModelChameleonPreTrainedModelr   ChameleonVQVAE)ChineseCLIPModelChineseCLIPPreTrainedModelChineseCLIPTextModelChineseCLIPVisionModel)ClapAudioModelClapAudioModelWithProjectionClapFeatureExtractor	ClapModelClapPreTrainedModelClapTextModelClapTextModelWithProjection)CLIPForImageClassification	CLIPModelCLIPPreTrainedModelCLIPTextModelCLIPTextModelWithProjectionCLIPVisionModelCLIPVisionModelWithProjection)CLIPSegForImageSegmentationCLIPSegModelCLIPSegPreTrainedModelCLIPSegTextModelCLIPSegVisionModel)ClvpDecoderClvpEncoderClvpForCausalLM	ClvpModel!ClvpModelForConditionalGenerationClvpPreTrainedModel)CodeGenForCausalLMCodeGenModelCodeGenPreTrainedModel)CohereForCausalLMCohereModelCoherePreTrainedModel)!ConditionalDetrForObjectDetectionConditionalDetrForSegmentationConditionalDetrModelConditionalDetrPreTrainedModel)ConvBertForMaskedLMConvBertForMultipleChoiceConvBertForQuestionAnswering!ConvBertForSequenceClassificationConvBertForTokenClassificationConvBertModelConvBertPreTrainedModelload_tf_weights_in_convbert)ConvNextBackboneConvNextForImageClassificationConvNextModelConvNextPreTrainedModel)ConvNextV2Backbone ConvNextV2ForImageClassificationConvNextV2ModelConvNextV2PreTrainedModel)CpmAntForCausalLMCpmAntModelCpmAntPreTrainedModel)CTRLForSequenceClassificationCTRLLMHeadModel	CTRLModelCTRLPreTrainedModel)CvtForImageClassificationCvtModelCvtPreTrainedModelDacModelDacPreTrainedModel)(Data2VecAudioForAudioFrameClassificationData2VecAudioForCTC&Data2VecAudioForSequenceClassificationData2VecAudioForXVectorData2VecAudioModelData2VecAudioPreTrainedModelData2VecTextForCausalLMData2VecTextForMaskedLMData2VecTextForMultipleChoice Data2VecTextForQuestionAnswering%Data2VecTextForSequenceClassification"Data2VecTextForTokenClassificationData2VecTextModelData2VecTextPreTrainedModel$Data2VecVisionForImageClassification%Data2VecVisionForSemanticSegmentationData2VecVisionModelData2VecVisionPreTrainedModel)DbrxForCausalLM	DbrxModelDbrxPreTrainedModel)DebertaForMaskedLMDebertaForQuestionAnswering DebertaForSequenceClassificationDebertaForTokenClassificationDebertaModelDebertaPreTrainedModel)DebertaV2ForMaskedLMDebertaV2ForMultipleChoiceDebertaV2ForQuestionAnswering"DebertaV2ForSequenceClassificationDebertaV2ForTokenClassificationDebertaV2ModelDebertaV2PreTrainedModel)DecisionTransformerGPT2Model&DecisionTransformerGPT2PreTrainedModelDecisionTransformerModel"DecisionTransformerPreTrainedModel) DeformableDetrForObjectDetectionDeformableDetrModelDeformableDetrPreTrainedModel)DeiTForImageClassification%DeiTForImageClassificationWithTeacherDeiTForMaskedImageModeling	DeiTModelDeiTPreTrainedModel)DetaForObjectDetection	DetaModelDetaPreTrainedModel)%EfficientFormerForImageClassification0EfficientFormerForImageClassificationWithTeacherEfficientFormerModelEfficientFormerPreTrainedModel)ErnieMForInformationExtractionErnieMForMultipleChoiceErnieMForQuestionAnsweringErnieMForSequenceClassificationErnieMForTokenClassificationErnieMModelErnieMPreTrainedModel)&GPTSanJapaneseForConditionalGenerationGPTSanJapaneseModelGPTSanJapanesePreTrainedModel) GraphormerForGraphClassificationGraphormerModelGraphormerPreTrainedModel)JukeboxModelJukeboxPreTrainedModelJukeboxPriorJukeboxVQVAE)MCTCTForCTC
MCTCTModelMCTCTPreTrainedModel)MegaForCausalLMMegaForMaskedLMMegaForMultipleChoiceMegaForQuestionAnsweringMegaForSequenceClassificationMegaForTokenClassification	MegaModelMegaPreTrainedModel)MMBTForClassification	MMBTModelModalEmbeddings)NatBackboneNatForImageClassificationNatModelNatPreTrainedModel)	NezhaForMaskedLMNezhaForMultipleChoiceNezhaForNextSentencePredictionNezhaForPreTrainingNezhaForQuestionAnsweringNezhaForSequenceClassificationNezhaForTokenClassification
NezhaModelNezhaPreTrainedModel)OpenLlamaForCausalLM"OpenLlamaForSequenceClassificationOpenLlamaModelOpenLlamaPreTrainedModel)
QDQBertForMaskedLMQDQBertForMultipleChoice QDQBertForNextSentencePredictionQDQBertForQuestionAnswering QDQBertForSequenceClassificationQDQBertForTokenClassificationQDQBertLMHeadModelQDQBertModelQDQBertPreTrainedModelload_tf_weights_in_qdqbert)RealmEmbedderRealmForOpenQARealmKnowledgeAugEncoderRealmPreTrainedModelRealmReaderRealmRetrieverRealmScorerload_tf_weights_in_realmRetriBertModelRetriBertPreTrainedModelSpeech2Text2ForCausalLMSpeech2Text2PreTrainedModelTrajectoryTransformerModel$TrajectoryTransformerPreTrainedModel)AdaptiveEmbedding"TransfoXLForSequenceClassificationTransfoXLLMHeadModelTransfoXLModelTransfoXLPreTrainedModelload_tf_weights_in_transfo_xl) TvltForAudioVisualClassificationTvltForPreTraining	TvltModelTvltPreTrainedModel)VanForImageClassificationVanModelVanPreTrainedModel)ViTHybridForImageClassificationViTHybridModelViTHybridPreTrainedModel)XLMProphetNetDecoderXLMProphetNetEncoderXLMProphetNetForCausalLM%XLMProphetNetForConditionalGenerationXLMProphetNetModelXLMProphetNetPreTrainedModelDepthAnythingForDepthEstimationDepthAnythingPreTrainedModel)DetrForObjectDetectionDetrForSegmentation	DetrModelDetrPreTrainedModel)DinatBackboneDinatForImageClassification
DinatModelDinatPreTrainedModel)Dinov2BackboneDinov2ForImageClassificationDinov2ModelDinov2PreTrainedModel)DistilBertForMaskedLMDistilBertForMultipleChoiceDistilBertForQuestionAnswering#DistilBertForSequenceClassification DistilBertForTokenClassificationDistilBertModelDistilBertPreTrainedModelDonutSwinModelDonutSwinPreTrainedModel)DPRContextEncoderDPRPretrainedContextEncoderDPRPreTrainedModelDPRPretrainedQuestionEncoderDPRPretrainedReaderDPRQuestionEncoder	DPRReader)DPTForDepthEstimationDPTForSemanticSegmentationDPTModelDPTPreTrainedModel)"EfficientNetForImageClassificationEfficientNetModelEfficientNetPreTrainedModel)
ElectraForCausalLMElectraForMaskedLMElectraForMultipleChoiceElectraForPreTrainingElectraForQuestionAnswering ElectraForSequenceClassificationElectraForTokenClassificationElectraModelElectraPreTrainedModelload_tf_weights_in_electraEncodecModelEncodecPreTrainedModelEncoderDecoderModel)
ErnieForCausalLMErnieForMaskedLMErnieForMultipleChoiceErnieForNextSentencePredictionErnieForPreTrainingErnieForQuestionAnsweringErnieForSequenceClassificationErnieForTokenClassification
ErnieModelErniePreTrainedModel)EsmFoldPreTrainedModelEsmForMaskedLMEsmForProteinFoldingEsmForSequenceClassificationEsmForTokenClassificationEsmModelEsmPreTrainedModel)FalconForCausalLMFalconForQuestionAnsweringFalconForSequenceClassificationFalconForTokenClassificationFalconModelFalconPreTrainedModel)FalconMambaForCausalLMFalconMambaModelFalconMambaPreTrainedModel)FastSpeech2ConformerHifiGanFastSpeech2ConformerModel#FastSpeech2ConformerPreTrainedModelFastSpeech2ConformerWithHifiGan)FlaubertForMultipleChoiceFlaubertForQuestionAnswering"FlaubertForQuestionAnsweringSimple!FlaubertForSequenceClassificationFlaubertForTokenClassificationFlaubertModelFlaubertPreTrainedModelFlaubertWithLMHeadModel)FlavaForPreTrainingFlavaImageCodebookFlavaImageModel
FlavaModelFlavaMultimodalModelFlavaPreTrainedModelFlavaTextModel)	FNetForMaskedLMFNetForMultipleChoiceFNetForNextSentencePredictionFNetForPreTrainingFNetForQuestionAnsweringFNetForSequenceClassificationFNetForTokenClassification	FNetModelFNetPreTrainedModel)FocalNetBackboneFocalNetForImageClassificationFocalNetForMaskedImageModelingFocalNetModelFocalNetPreTrainedModel)FSMTForConditionalGeneration	FSMTModelPretrainedFSMTModel)
FunnelBaseModelFunnelForMaskedLMFunnelForMultipleChoiceFunnelForPreTrainingFunnelForQuestionAnsweringFunnelForSequenceClassificationFunnelForTokenClassificationFunnelModelFunnelPreTrainedModelload_tf_weights_in_funnelFuyuForCausalLMFuyuPreTrainedModel)GemmaForCausalLMGemmaForSequenceClassificationGemmaForTokenClassification
GemmaModelGemmaPreTrainedModel)Gemma2ForCausalLMGemma2ForSequenceClassificationGemma2ForTokenClassificationGemma2ModelGemma2PreTrainedModel)GitForCausalLMGitModelGitPreTrainedModelGitVisionModel)GlmForCausalLMGlmForSequenceClassificationGlmForTokenClassificationGlmModelGlmPreTrainedModel)GLPNForDepthEstimation	GLPNModelGLPNPreTrainedModel)GPT2DoubleHeadsModelGPT2ForQuestionAnsweringGPT2ForSequenceClassificationGPT2ForTokenClassificationGPT2LMHeadModel	GPT2ModelGPT2PreTrainedModelload_tf_weights_in_gpt2)GPTBigCodeForCausalLM#GPTBigCodeForSequenceClassification GPTBigCodeForTokenClassificationGPTBigCodeModelGPTBigCodePreTrainedModel)GPTNeoForCausalLMGPTNeoForQuestionAnsweringGPTNeoForSequenceClassificationGPTNeoForTokenClassificationGPTNeoModelGPTNeoPreTrainedModelload_tf_weights_in_gpt_neo)GPTNeoXForCausalLMGPTNeoXForQuestionAnswering GPTNeoXForSequenceClassificationGPTNeoXForTokenClassificationGPTNeoXModelGPTNeoXPreTrainedModel)GPTNeoXJapaneseForCausalLMGPTNeoXJapaneseModelGPTNeoXJapanesePreTrainedModel)GPTJForCausalLMGPTJForQuestionAnsweringGPTJForSequenceClassification	GPTJModelGPTJPreTrainedModel)GraniteForCausalLMGraniteModelGranitePreTrainedModel)GraniteMoeForCausalLMGraniteMoeModelGraniteMoePreTrainedModel)GroundingDinoForObjectDetectionGroundingDinoModelGroundingDinoPreTrainedModel)GroupViTModelGroupViTPreTrainedModelGroupViTTextModelGroupViTVisionModel)HieraBackboneHieraForImageClassificationHieraForPreTraining
HieraModelHieraPreTrainedModel)HubertForCTCHubertForSequenceClassificationHubertModelHubertPreTrainedModel)IBertForMaskedLMIBertForMultipleChoiceIBertForQuestionAnsweringIBertForSequenceClassificationIBertForTokenClassification
IBertModelIBertPreTrainedModel)IdeficsForVisionText2TextIdeficsModelIdeficsPreTrainedModelIdeficsProcessor) Idefics2ForConditionalGenerationIdefics2ModelIdefics2PreTrainedModelIdefics2Processor) Idefics3ForConditionalGenerationIdefics3ModelIdefics3PreTrainedModelIdefics3Processor)ImageGPTForCausalImageModelingImageGPTForImageClassificationImageGPTModelImageGPTPreTrainedModelload_tf_weights_in_imagegpt)InformerForPredictionInformerModelInformerPreTrainedModel)$InstructBlipForConditionalGenerationInstructBlipPreTrainedModelInstructBlipQFormerModelInstructBlipVisionModel))InstructBlipVideoForConditionalGeneration InstructBlipVideoPreTrainedModelInstructBlipVideoQFormerModelInstructBlipVideoVisionModel)JambaForCausalLMJambaForSequenceClassification
JambaModelJambaPreTrainedModel)JetMoeForCausalLMJetMoeForSequenceClassificationJetMoeModelJetMoePreTrainedModel)Kosmos2ForConditionalGenerationKosmos2ModelKosmos2PreTrainedModel)LayoutLMForMaskedLMLayoutLMForQuestionAnswering!LayoutLMForSequenceClassificationLayoutLMForTokenClassificationLayoutLMModelLayoutLMPreTrainedModel)LayoutLMv2ForQuestionAnswering#LayoutLMv2ForSequenceClassification LayoutLMv2ForTokenClassificationLayoutLMv2ModelLayoutLMv2PreTrainedModel)LayoutLMv3ForQuestionAnswering#LayoutLMv3ForSequenceClassification LayoutLMv3ForTokenClassificationLayoutLMv3ModelLayoutLMv3PreTrainedModel)LEDForConditionalGenerationLEDForQuestionAnsweringLEDForSequenceClassificationLEDModelLEDPreTrainedModel)LevitForImageClassification&LevitForImageClassificationWithTeacher
LevitModelLevitPreTrainedModel)LiltForQuestionAnsweringLiltForSequenceClassificationLiltForTokenClassification	LiltModelLiltPreTrainedModel)LlamaForCausalLMLlamaForQuestionAnsweringLlamaForSequenceClassificationLlamaForTokenClassification
LlamaModelLlamaPreTrainedModelLlavaForConditionalGenerationLlavaPreTrainedModel!LlavaNextForConditionalGenerationLlavaNextPreTrainedModel&LlavaNextVideoForConditionalGenerationLlavaNextVideoPreTrainedModel&LlavaOnevisionForConditionalGenerationLlavaOnevisionPreTrainedModel)LongformerForMaskedLMLongformerForMultipleChoiceLongformerForQuestionAnswering#LongformerForSequenceClassification LongformerForTokenClassificationLongformerModelLongformerPreTrainedModel)LongT5EncoderModelLongT5ForConditionalGenerationLongT5ModelLongT5PreTrainedModel)
LukeForEntityClassificationLukeForEntityPairClassificationLukeForEntitySpanClassificationLukeForMaskedLMLukeForMultipleChoiceLukeForQuestionAnsweringLukeForSequenceClassificationLukeForTokenClassification	LukeModelLukePreTrainedModel)LxmertEncoderLxmertForPreTrainingLxmertForQuestionAnsweringLxmertModelLxmertPreTrainedModelLxmertVisualFeatureEncoder)M2M100ForConditionalGenerationM2M100ModelM2M100PreTrainedModel)MambaForCausalLM
MambaModelMambaPreTrainedModel)Mamba2ForCausalLMMamba2ModelMamba2PreTrainedModel)MarianForCausalLMMarianModelMarianMTModelMarianPreTrainedModel)MarkupLMForQuestionAnswering!MarkupLMForSequenceClassificationMarkupLMForTokenClassificationMarkupLMModelMarkupLMPreTrainedModel)#Mask2FormerForUniversalSegmentationMask2FormerModelMask2FormerPreTrainedModel)!MaskFormerForInstanceSegmentationMaskFormerModelMaskFormerPreTrainedModelMaskFormerSwinBackbone)MBartForCausalLMMBartForConditionalGenerationMBartForQuestionAnsweringMBartForSequenceClassification
MBartModelMBartPreTrainedModel)
MegatronBertForCausalLMMegatronBertForMaskedLMMegatronBertForMultipleChoice%MegatronBertForNextSentencePredictionMegatronBertForPreTraining MegatronBertForQuestionAnswering%MegatronBertForSequenceClassification"MegatronBertForTokenClassificationMegatronBertModelMegatronBertPreTrainedModel)MgpstrForSceneTextRecognitionMgpstrModelMgpstrPreTrainedModel	MimiModelMimiPreTrainedModel)MistralForCausalLMMistralForQuestionAnswering MistralForSequenceClassificationMistralForTokenClassificationMistralModelMistralPreTrainedModel)MixtralForCausalLMMixtralForQuestionAnswering MixtralForSequenceClassificationMixtralForTokenClassificationMixtralModelMixtralPreTrainedModel)MllamaForCausalLMMllamaForConditionalGenerationMllamaPreTrainedModelr  MllamaTextModelMllamaVisionModel)
MobileBertForMaskedLMMobileBertForMultipleChoice#MobileBertForNextSentencePredictionMobileBertForPreTrainingMobileBertForQuestionAnswering#MobileBertForSequenceClassification MobileBertForTokenClassificationMobileBertModelMobileBertPreTrainedModelload_tf_weights_in_mobilebert)!MobileNetV1ForImageClassificationMobileNetV1ModelMobileNetV1PreTrainedModelload_tf_weights_in_mobilenet_v1)!MobileNetV2ForImageClassification"MobileNetV2ForSemanticSegmentationMobileNetV2ModelMobileNetV2PreTrainedModelload_tf_weights_in_mobilenet_v2)MobileViTForImageClassification MobileViTForSemanticSegmentationMobileViTModelMobileViTPreTrainedModel)!MobileViTV2ForImageClassification"MobileViTV2ForSemanticSegmentationMobileViTV2ModelMobileViTV2PreTrainedModel)MoshiForCausalLMMoshiForConditionalGeneration
MoshiModelMoshiPreTrainedModel)MPNetForMaskedLMMPNetForMultipleChoiceMPNetForQuestionAnsweringMPNetForSequenceClassificationMPNetForTokenClassification
MPNetModelMPNetPreTrainedModel)MptForCausalLMMptForQuestionAnsweringMptForSequenceClassificationMptForTokenClassificationMptModelMptPreTrainedModel)MraForMaskedLMMraForMultipleChoiceMraForQuestionAnsweringMraForSequenceClassificationMraForTokenClassificationMraModelMraPreTrainedModel)MT5EncoderModelMT5ForConditionalGenerationMT5ForQuestionAnsweringMT5ForSequenceClassificationMT5ForTokenClassificationMT5ModelMT5PreTrainedModel)MusicgenForCausalLM MusicgenForConditionalGenerationMusicgenModelMusicgenPreTrainedModelMusicgenProcessor)MusicgenMelodyForCausalLM&MusicgenMelodyForConditionalGenerationMusicgenMelodyModelMusicgenMelodyPreTrainedModel)MvpForCausalLMMvpForConditionalGenerationMvpForQuestionAnsweringMvpForSequenceClassificationMvpModelMvpPreTrainedModel)NemotronForCausalLMNemotronForQuestionAnswering!NemotronForSequenceClassificationNemotronForTokenClassificationNemotronModelNemotronPreTrainedModel)NllbMoeForConditionalGenerationNllbMoeModelNllbMoePreTrainedModelNllbMoeSparseMLPNllbMoeTop2Router)NystromformerForMaskedLMNystromformerForMultipleChoice!NystromformerForQuestionAnswering&NystromformerForSequenceClassification#NystromformerForTokenClassificationNystromformerModelNystromformerPreTrainedModel)OlmoForCausalLM	OlmoModelOlmoPreTrainedModel)OlmoeForCausalLM
OlmoeModelOlmoePreTrainedModelOmDetTurboForObjectDetectionOmDetTurboPreTrainedModel)!OneFormerForUniversalSegmentationOneFormerModelOneFormerPreTrainedModel)OpenAIGPTDoubleHeadsModel"OpenAIGPTForSequenceClassificationOpenAIGPTLMHeadModelOpenAIGPTModelOpenAIGPTPreTrainedModelload_tf_weights_in_openai_gpt)OPTForCausalLMOPTForQuestionAnsweringOPTForSequenceClassificationOPTModelOPTPreTrainedModel)Owlv2ForObjectDetection
Owlv2ModelOwlv2PreTrainedModelOwlv2TextModelOwlv2VisionModel)OwlViTForObjectDetectionOwlViTModelOwlViTPreTrainedModelOwlViTTextModelOwlViTVisionModel)!PaliGemmaForConditionalGenerationPaliGemmaPreTrainedModelPaliGemmaProcessor)PatchTSMixerForPredictionPatchTSMixerForPretrainingPatchTSMixerForRegression'PatchTSMixerForTimeSeriesClassificationPatchTSMixerModelPatchTSMixerPreTrainedModel)PatchTSTForClassificationPatchTSTForPredictionPatchTSTForPretrainingPatchTSTForRegressionPatchTSTModelPatchTSTPreTrainedModel)PegasusForCausalLMPegasusForConditionalGenerationPegasusModelPegasusPreTrainedModel) PegasusXForConditionalGenerationPegasusXModelPegasusXPreTrainedModel)	-PerceiverForImageClassificationConvProcessing&PerceiverForImageClassificationFourier&PerceiverForImageClassificationLearnedPerceiverForMaskedLM"PerceiverForMultimodalAutoencodingPerceiverForOpticalFlow"PerceiverForSequenceClassificationPerceiverModelPerceiverPreTrainedModel)PersimmonForCausalLM"PersimmonForSequenceClassificationPersimmonForTokenClassificationPersimmonModelPersimmonPreTrainedModel)PhiForCausalLMPhiForSequenceClassificationPhiForTokenClassificationPhiModelPhiPreTrainedModel)Phi3ForCausalLMPhi3ForSequenceClassificationPhi3ForTokenClassification	Phi3ModelPhi3PreTrainedModel)PhimoeForCausalLMPhimoeForSequenceClassificationPhimoeModelPhimoePreTrainedModel)"Pix2StructForConditionalGenerationPix2StructPreTrainedModelPix2StructTextModelPix2StructVisionModelPixtralPreTrainedModelPixtralVisionModel)PLBartForCausalLMPLBartForConditionalGenerationPLBartForSequenceClassificationPLBartModelPLBartPreTrainedModel) PoolFormerForImageClassificationPoolFormerModelPoolFormerPreTrainedModel!Pop2PianoForConditionalGenerationPop2PianoPreTrainedModel)ProphetNetDecoderProphetNetEncoderProphetNetForCausalLM"ProphetNetForConditionalGenerationProphetNetModelProphetNetPreTrainedModel)PvtForImageClassificationPvtModelPvtPreTrainedModel)PvtV2BackbonePvtV2ForImageClassification
PvtV2ModelPvtV2PreTrainedModel)Qwen2ForCausalLMQwen2ForQuestionAnsweringQwen2ForSequenceClassificationQwen2ForTokenClassification
Qwen2ModelQwen2PreTrainedModel)Qwen2AudioEncoder"Qwen2AudioForConditionalGenerationQwen2AudioPreTrainedModel)Qwen2MoeForCausalLMQwen2MoeForQuestionAnswering!Qwen2MoeForSequenceClassificationQwen2MoeForTokenClassificationQwen2MoeModelQwen2MoePreTrainedModel)Qwen2VLForConditionalGenerationQwen2VLModelQwen2VLPreTrainedModel)RagModelRagPreTrainedModelRagSequenceForGenerationRagTokenForGeneration)RecurrentGemmaForCausalLMRecurrentGemmaModelRecurrentGemmaPreTrainedModel)ReformerForMaskedLMReformerForQuestionAnswering!ReformerForSequenceClassificationReformerModelReformerModelWithLMHeadReformerPreTrainedModel)RegNetForImageClassificationRegNetModelRegNetPreTrainedModel)	RemBertForCausalLMRemBertForMaskedLMRemBertForMultipleChoiceRemBertForQuestionAnswering RemBertForSequenceClassificationRemBertForTokenClassificationRemBertModelRemBertPreTrainedModelload_tf_weights_in_rembert)ResNetBackboneResNetForImageClassificationResNetModelResNetPreTrainedModel)RobertaForCausalLMRobertaForMaskedLMRobertaForMultipleChoiceRobertaForQuestionAnswering RobertaForSequenceClassificationRobertaForTokenClassificationRobertaModelRobertaPreTrainedModel)RobertaPreLayerNormForCausalLMRobertaPreLayerNormForMaskedLM$RobertaPreLayerNormForMultipleChoice'RobertaPreLayerNormForQuestionAnswering,RobertaPreLayerNormForSequenceClassification)RobertaPreLayerNormForTokenClassificationRobertaPreLayerNormModel"RobertaPreLayerNormPreTrainedModel)
RoCBertForCausalLMRoCBertForMaskedLMRoCBertForMultipleChoiceRoCBertForPreTrainingRoCBertForQuestionAnswering RoCBertForSequenceClassificationRoCBertForTokenClassificationRoCBertModelRoCBertPreTrainedModelload_tf_weights_in_roc_bert)	RoFormerForCausalLMRoFormerForMaskedLMRoFormerForMultipleChoiceRoFormerForQuestionAnswering!RoFormerForSequenceClassificationRoFormerForTokenClassificationRoFormerModelRoFormerPreTrainedModelload_tf_weights_in_roformer)RTDetrForObjectDetectionRTDetrModelRTDetrPreTrainedModelRTDetrResNetBackboneRTDetrResNetPreTrainedModel)RwkvForCausalLM	RwkvModelRwkvPreTrainedModelSamModelSamPreTrainedModel)
SeamlessM4TCodeHifiGanSeamlessM4TForSpeechToSpeechSeamlessM4TForSpeechToTextSeamlessM4TForTextToSpeechSeamlessM4TForTextToTextSeamlessM4THifiGanSeamlessM4TModelSeamlessM4TPreTrainedModel-SeamlessM4TTextToUnitForConditionalGenerationSeamlessM4TTextToUnitModel)SeamlessM4Tv2ForSpeechToSpeechSeamlessM4Tv2ForSpeechToTextSeamlessM4Tv2ForTextToSpeechSeamlessM4Tv2ForTextToTextSeamlessM4Tv2ModelSeamlessM4Tv2PreTrainedModel)SegformerDecodeHeadSegformerForImageClassification SegformerForSemanticSegmentationSegformerModelSegformerPreTrainedModel)SegGptForImageSegmentationSegGptModelSegGptPreTrainedModel)	SEWForCTCSEWForSequenceClassificationSEWModelSEWPreTrainedModel)
SEWDForCTCSEWDForSequenceClassification	SEWDModelSEWDPreTrainedModel)SiglipForImageClassificationSiglipModelSiglipPreTrainedModelSiglipTextModelSiglipVisionModelSpeechEncoderDecoderModel)#Speech2TextForConditionalGenerationSpeech2TextModelSpeech2TextPreTrainedModel)SpeechT5ForSpeechToSpeechSpeechT5ForSpeechToTextSpeechT5ForTextToSpeechSpeechT5HifiGanSpeechT5ModelSpeechT5PreTrainedModel)SplinterForPreTrainingSplinterForQuestionAnsweringSplinterModelSplinterPreTrainedModel)SqueezeBertForMaskedLMSqueezeBertForMultipleChoiceSqueezeBertForQuestionAnswering$SqueezeBertForSequenceClassification!SqueezeBertForTokenClassificationSqueezeBertModelSqueezeBertPreTrainedModel)StableLmForCausalLM!StableLmForSequenceClassificationStableLmForTokenClassificationStableLmModelStableLmPreTrainedModel)Starcoder2ForCausalLM#Starcoder2ForSequenceClassification Starcoder2ForTokenClassificationStarcoder2ModelStarcoder2PreTrainedModelSuperPointForKeypointDetectionSuperPointPreTrainedModel)!SwiftFormerForImageClassificationSwiftFormerModelSwiftFormerPreTrainedModel)SwinBackboneSwinForImageClassificationSwinForMaskedImageModeling	SwinModelSwinPreTrainedModel)Swin2SRForImageSuperResolutionSwin2SRModelSwin2SRPreTrainedModel)Swinv2BackboneSwinv2ForImageClassificationSwinv2ForMaskedImageModelingSwinv2ModelSwinv2PreTrainedModel)SwitchTransformersEncoderModel*SwitchTransformersForConditionalGenerationSwitchTransformersModel!SwitchTransformersPreTrainedModelSwitchTransformersSparseMLPSwitchTransformersTop1Router)T5EncoderModelT5ForConditionalGenerationT5ForQuestionAnsweringT5ForSequenceClassificationT5ForTokenClassificationT5ModelT5PreTrainedModelload_tf_weights_in_t5)"TableTransformerForObjectDetectionTableTransformerModelTableTransformerPreTrainedModel)TapasForMaskedLMTapasForQuestionAnsweringTapasForSequenceClassification
TapasModelTapasPreTrainedModelload_tf_weights_in_tapas)"TimeSeriesTransformerForPredictionTimeSeriesTransformerModel$TimeSeriesTransformerPreTrainedModel)!TimesformerForVideoClassificationTimesformerModelTimesformerPreTrainedModelTimmBackboneTrOCRForCausalLMTrOCRPreTrainedModel)TvpForVideoGroundingTvpModelTvpPreTrainedModel)UdopEncoderModelUdopForConditionalGeneration	UdopModelUdopPreTrainedModel)UMT5EncoderModelUMT5ForConditionalGenerationUMT5ForQuestionAnsweringUMT5ForSequenceClassificationUMT5ForTokenClassification	UMT5ModelUMT5PreTrainedModel)UniSpeechForCTCUniSpeechForPreTraining"UniSpeechForSequenceClassificationUniSpeechModelUniSpeechPreTrainedModel)'UniSpeechSatForAudioFrameClassificationUniSpeechSatForCTCUniSpeechSatForPreTraining%UniSpeechSatForSequenceClassificationUniSpeechSatForXVectorUniSpeechSatModelUniSpeechSatPreTrainedModelUnivNetModelUperNetForSemanticSegmentationUperNetPreTrainedModel)"VideoLlavaForConditionalGenerationVideoLlavaPreTrainedModelVideoLlavaProcessor)VideoMAEForPreTrainingVideoMAEForVideoClassificationVideoMAEModelVideoMAEPreTrainedModel)ViltForImageAndTextRetrieval"ViltForImagesAndTextClassificationViltForMaskedLMViltForQuestionAnsweringViltForTokenClassification	ViltModelViltPreTrainedModel VipLlavaForConditionalGenerationVipLlavaPreTrainedModelVisionEncoderDecoderModelVisionTextDualEncoderModel)VisualBertForMultipleChoiceVisualBertForPreTrainingVisualBertForQuestionAnswering$VisualBertForRegionToPhraseAlignmentVisualBertForVisualReasoningVisualBertModelVisualBertPreTrainedModel)ViTForImageClassificationViTForMaskedImageModelingViTModelViTPreTrainedModel)ViTMAEForPreTrainingViTMAEModelViTMAEPreTrainedModel)ViTMSNForImageClassificationViTMSNModelViTMSNPreTrainedModel)VitDetBackboneVitDetModelVitDetPreTrainedModelVitMatteForImageMattingVitMattePreTrainedModel	VitsModelVitsPreTrainedModel)VivitForVideoClassification
VivitModelVivitPreTrainedModel)#Wav2Vec2ForAudioFrameClassificationWav2Vec2ForCTCWav2Vec2ForMaskedLMWav2Vec2ForPreTraining!Wav2Vec2ForSequenceClassificationWav2Vec2ForXVectorWav2Vec2ModelWav2Vec2PreTrainedModel)'Wav2Vec2BertForAudioFrameClassificationWav2Vec2BertForCTC%Wav2Vec2BertForSequenceClassificationWav2Vec2BertForXVectorWav2Vec2BertModelWav2Vec2BertPreTrainedModel),Wav2Vec2ConformerForAudioFrameClassificationWav2Vec2ConformerForCTCWav2Vec2ConformerForPreTraining*Wav2Vec2ConformerForSequenceClassificationWav2Vec2ConformerForXVectorWav2Vec2ConformerModel Wav2Vec2ConformerPreTrainedModel) WavLMForAudioFrameClassificationWavLMForCTCWavLMForSequenceClassificationWavLMForXVector
WavLMModelWavLMPreTrainedModel)WhisperForAudioClassificationWhisperForCausalLMWhisperForConditionalGenerationWhisperModelWhisperPreTrainedModel)
XCLIPModelXCLIPPreTrainedModelXCLIPTextModelXCLIPVisionModel)XGLMForCausalLM	XGLMModelXGLMPreTrainedModel)XLMForMultipleChoiceXLMForQuestionAnsweringXLMForQuestionAnsweringSimpleXLMForSequenceClassificationXLMForTokenClassificationXLMModelXLMPreTrainedModelXLMWithLMHeadModel)XLMRobertaForCausalLMXLMRobertaForMaskedLMXLMRobertaForMultipleChoiceXLMRobertaForQuestionAnswering#XLMRobertaForSequenceClassification XLMRobertaForTokenClassificationXLMRobertaModelXLMRobertaPreTrainedModel)XLMRobertaXLForCausalLMXLMRobertaXLForMaskedLMXLMRobertaXLForMultipleChoice XLMRobertaXLForQuestionAnswering%XLMRobertaXLForSequenceClassification"XLMRobertaXLForTokenClassificationXLMRobertaXLModelXLMRobertaXLPreTrainedModel)	XLNetForMultipleChoiceXLNetForQuestionAnsweringXLNetForQuestionAnsweringSimpleXLNetForSequenceClassificationXLNetForTokenClassificationXLNetLMHeadModel
XLNetModelXLNetPreTrainedModelload_tf_weights_in_xlnet)XmodForCausalLMXmodForMaskedLMXmodForMultipleChoiceXmodForQuestionAnsweringXmodForSequenceClassificationXmodForTokenClassification	XmodModelXmodPreTrainedModel)YolosForObjectDetection
YolosModelYolosPreTrainedModel)YosoForMaskedLMYosoForMultipleChoiceYosoForQuestionAnsweringYosoForSequenceClassificationYosoForTokenClassification	YosoModelYosoPreTrainedModel)ZambaForCausalLMZambaForSequenceClassification
ZambaModelZambaPreTrainedModelZoeDepthForDepthEstimationZoeDepthPreTrainedModel)	AdafactorAdamWget_constant_schedule!get_constant_schedule_with_warmupget_cosine_schedule_with_warmup2get_cosine_with_hard_restarts_schedule_with_warmupget_inverse_sqrt_scheduleget_linear_schedule_with_warmup)get_polynomial_decay_schedule_with_warmupget_schedulerget_wsd_scheduleoptimization)Conv1Dapply_chunking_to_forwardprune_layerpytorch_utils	sagemakertime_series_utilsTrainertrainertorch_distributed_zero_firsttrainer_pt_utilsSeq2SeqTrainertrainer_seq2seq)dummy_pt_objectszutils.dummy_pt_objectsactivations_tfTensorFlowBenchmarkArgumentszbenchmark.benchmark_args_tfTensorFlowBenchmarkzbenchmark.benchmark_tf)TFForcedBOSTokenLogitsProcessorTFForcedEOSTokenLogitsProcessorTFForceTokensLogitsProcessorTFGenerationMixinTFLogitsProcessorTFLogitsProcessorListTFLogitsWarperTFMinLengthLogitsProcessorTFNoBadWordsLogitsProcessorTFNoRepeatNGramLogitsProcessor"TFRepetitionPenaltyLogitsProcessor&TFSuppressTokensAtBeginLogitsProcessorTFSuppressTokensLogitsProcessorTFTemperatureLogitsWarperTFTopKLogitsWarperTFTopPLogitsWarperKerasMetricCallbackPushToHubCallbackkeras_callbacksmodeling_tf_outputs)TFPreTrainedModelTFSequenceSummaryTFSharedEmbeddings
shape_listmodeling_tf_utils)	TFAlbertForMaskedLMTFAlbertForMultipleChoiceTFAlbertForPreTrainingTFAlbertForQuestionAnswering!TFAlbertForSequenceClassificationTFAlbertForTokenClassificationTFAlbertMainLayerTFAlbertModelTFAlbertPreTrainedModel),)TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPINGTF_MODEL_FOR_CAUSAL_LM_MAPPING0TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING)TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING*TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPINGTF_MODEL_FOR_MASKED_LM_MAPPING$TF_MODEL_FOR_MASK_GENERATION_MAPPING$TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING-TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING TF_MODEL_FOR_PRETRAINING_MAPPING'TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING*TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING)TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING%TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING-TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING"TF_MODEL_FOR_TEXT_ENCODING_MAPPING)TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING!TF_MODEL_FOR_VISION_2_SEQ_MAPPING3TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPINGTF_MODEL_MAPPINGTF_MODEL_WITH_LM_HEAD_MAPPINGTFAutoModel!TFAutoModelForAudioClassificationTFAutoModelForCausalLM'TFAutoModelForDocumentQuestionAnswering!TFAutoModelForImageClassification!TFAutoModelForMaskedImageModelingTFAutoModelForMaskedLMTFAutoModelForMaskGenerationTFAutoModelForMultipleChoice$TFAutoModelForNextSentencePredictionTFAutoModelForPreTrainingTFAutoModelForQuestionAnswering"TFAutoModelForSemanticSegmentationTFAutoModelForSeq2SeqLM$TFAutoModelForSequenceClassificationTFAutoModelForSpeechSeq2Seq$TFAutoModelForTableQuestionAnsweringTFAutoModelForTextEncoding!TFAutoModelForTokenClassificationTFAutoModelForVision2Seq)TFAutoModelForZeroShotImageClassificationTFAutoModelWithLMHead)TFBartForConditionalGenerationTFBartForSequenceClassificationTFBartModelTFBartPretrainedModel)TFBertForMaskedLMTFBertForMultipleChoiceTFBertForNextSentencePredictionTFBertForPreTrainingTFBertForQuestionAnsweringTFBertForSequenceClassificationTFBertForTokenClassificationTFBertLMHeadModelTFBertMainLayerTFBertModelTFBertPreTrainedModel)$TFBlenderbotForConditionalGenerationTFBlenderbotModelTFBlenderbotPreTrainedModel))TFBlenderbotSmallForConditionalGenerationTFBlenderbotSmallModel TFBlenderbotSmallPreTrainedModel)TFBlipForConditionalGenerationTFBlipForImageTextRetrievalTFBlipForQuestionAnsweringTFBlipModelTFBlipPreTrainedModelTFBlipTextModelTFBlipVisionModel)TFCamembertForCausalLMTFCamembertForMaskedLMTFCamembertForMultipleChoiceTFCamembertForQuestionAnswering$TFCamembertForSequenceClassification!TFCamembertForTokenClassificationTFCamembertModelTFCamembertPreTrainedModel)TFCLIPModelTFCLIPPreTrainedModelTFCLIPTextModelTFCLIPVisionModel)TFConvBertForMaskedLMTFConvBertForMultipleChoiceTFConvBertForQuestionAnswering#TFConvBertForSequenceClassification TFConvBertForTokenClassificationTFConvBertModelTFConvBertPreTrainedModel) TFConvNextForImageClassificationTFConvNextModelTFConvNextPreTrainedModel)"TFConvNextV2ForImageClassificationTFConvNextV2ModelTFConvNextV2PreTrainedModel)TFCTRLForSequenceClassificationTFCTRLLMHeadModelTFCTRLModelTFCTRLPreTrainedModel)TFCvtForImageClassification
TFCvtModelTFCvtPreTrainedModel)&TFData2VecVisionForImageClassification'TFData2VecVisionForSemanticSegmentationTFData2VecVisionModelTFData2VecVisionPreTrainedModel)TFDebertaForMaskedLMTFDebertaForQuestionAnswering"TFDebertaForSequenceClassificationTFDebertaForTokenClassificationTFDebertaModelTFDebertaPreTrainedModel)TFDebertaV2ForMaskedLMTFDebertaV2ForMultipleChoiceTFDebertaV2ForQuestionAnswering$TFDebertaV2ForSequenceClassification!TFDebertaV2ForTokenClassificationTFDebertaV2ModelTFDebertaV2PreTrainedModel)TFDeiTForImageClassification'TFDeiTForImageClassificationWithTeacherTFDeiTForMaskedImageModelingTFDeiTModelTFDeiTPreTrainedModel)'TFEfficientFormerForImageClassification2TFEfficientFormerForImageClassificationWithTeacherTFEfficientFormerModel TFEfficientFormerPreTrainedModel)TFAdaptiveEmbedding$TFTransfoXLForSequenceClassificationTFTransfoXLLMHeadModelTFTransfoXLMainLayerTFTransfoXLModelTFTransfoXLPreTrainedModel)TFDistilBertForMaskedLMTFDistilBertForMultipleChoice TFDistilBertForQuestionAnswering%TFDistilBertForSequenceClassification"TFDistilBertForTokenClassificationTFDistilBertMainLayerTFDistilBertModelTFDistilBertPreTrainedModel)TFDPRContextEncoderTFDPRPretrainedContextEncoderTFDPRPretrainedQuestionEncoderTFDPRPretrainedReaderTFDPRQuestionEncoderTFDPRReader)TFElectraForMaskedLMTFElectraForMultipleChoiceTFElectraForPreTrainingTFElectraForQuestionAnswering"TFElectraForSequenceClassificationTFElectraForTokenClassificationTFElectraModelTFElectraPreTrainedModelTFEncoderDecoderModel)TFEsmForMaskedLMTFEsmForSequenceClassificationTFEsmForTokenClassification
TFEsmModelTFEsmPreTrainedModel)TFFlaubertForMultipleChoice$TFFlaubertForQuestionAnsweringSimple#TFFlaubertForSequenceClassification TFFlaubertForTokenClassificationTFFlaubertModelTFFlaubertPreTrainedModelTFFlaubertWithLMHeadModel)	TFFunnelBaseModelTFFunnelForMaskedLMTFFunnelForMultipleChoiceTFFunnelForPreTrainingTFFunnelForQuestionAnswering!TFFunnelForSequenceClassificationTFFunnelForTokenClassificationTFFunnelModelTFFunnelPreTrainedModel)TFGPT2DoubleHeadsModelTFGPT2ForSequenceClassificationTFGPT2LMHeadModelTFGPT2MainLayerTFGPT2ModelTFGPT2PreTrainedModel)TFGPTJForCausalLMTFGPTJForQuestionAnsweringTFGPTJForSequenceClassificationTFGPTJModelTFGPTJPreTrainedModel)TFGroupViTModelTFGroupViTPreTrainedModelTFGroupViTTextModelTFGroupViTVisionModel)TFHubertForCTCTFHubertModelTFHubertPreTrainedModel)TFIdeficsForVisionText2TextTFIdeficsModelTFIdeficsPreTrainedModel)TFLayoutLMForMaskedLMTFLayoutLMForQuestionAnswering#TFLayoutLMForSequenceClassification TFLayoutLMForTokenClassificationTFLayoutLMMainLayerTFLayoutLMModelTFLayoutLMPreTrainedModel) TFLayoutLMv3ForQuestionAnswering%TFLayoutLMv3ForSequenceClassification"TFLayoutLMv3ForTokenClassificationTFLayoutLMv3ModelTFLayoutLMv3PreTrainedModel)TFLEDForConditionalGeneration
TFLEDModelTFLEDPreTrainedModel)TFLongformerForMaskedLMTFLongformerForMultipleChoice TFLongformerForQuestionAnswering%TFLongformerForSequenceClassification"TFLongformerForTokenClassificationTFLongformerModelTFLongformerPreTrainedModel)TFLxmertForPreTrainingTFLxmertMainLayerTFLxmertModelTFLxmertPreTrainedModelTFLxmertVisualFeatureEncoder)TFMarianModelTFMarianMTModelTFMarianPreTrainedModel)TFMBartForConditionalGenerationTFMBartModelTFMBartPreTrainedModel)TFMistralForCausalLM"TFMistralForSequenceClassificationTFMistralModelTFMistralPreTrainedModel)
TFMobileBertForMaskedLMTFMobileBertForMultipleChoice%TFMobileBertForNextSentencePredictionTFMobileBertForPreTraining TFMobileBertForQuestionAnswering%TFMobileBertForSequenceClassification"TFMobileBertForTokenClassificationTFMobileBertMainLayerTFMobileBertModelTFMobileBertPreTrainedModel)!TFMobileViTForImageClassification"TFMobileViTForSemanticSegmentationTFMobileViTModelTFMobileViTPreTrainedModel)TFMPNetForMaskedLMTFMPNetForMultipleChoiceTFMPNetForQuestionAnswering TFMPNetForSequenceClassificationTFMPNetForTokenClassificationTFMPNetMainLayerTFMPNetModelTFMPNetPreTrainedModel)TFMT5EncoderModelTFMT5ForConditionalGeneration
TFMT5Model)TFOpenAIGPTDoubleHeadsModel$TFOpenAIGPTForSequenceClassificationTFOpenAIGPTLMHeadModelTFOpenAIGPTMainLayerTFOpenAIGPTModelTFOpenAIGPTPreTrainedModel)TFOPTForCausalLM
TFOPTModelTFOPTPreTrainedModel)!TFPegasusForConditionalGenerationTFPegasusModelTFPegasusPreTrainedModel)
TFRagModelTFRagPreTrainedModelTFRagSequenceForGenerationTFRagTokenForGeneration)TFRegNetForImageClassificationTFRegNetModelTFRegNetPreTrainedModel)TFRemBertForCausalLMTFRemBertForMaskedLMTFRemBertForMultipleChoiceTFRemBertForQuestionAnswering"TFRemBertForSequenceClassificationTFRemBertForTokenClassificationTFRemBertModelTFRemBertPreTrainedModel)TFResNetForImageClassificationTFResNetModelTFResNetPreTrainedModel)	TFRobertaForCausalLMTFRobertaForMaskedLMTFRobertaForMultipleChoiceTFRobertaForQuestionAnswering"TFRobertaForSequenceClassificationTFRobertaForTokenClassificationTFRobertaMainLayerTFRobertaModelTFRobertaPreTrainedModel)	 TFRobertaPreLayerNormForCausalLM TFRobertaPreLayerNormForMaskedLM&TFRobertaPreLayerNormForMultipleChoice)TFRobertaPreLayerNormForQuestionAnswering.TFRobertaPreLayerNormForSequenceClassification+TFRobertaPreLayerNormForTokenClassificationTFRobertaPreLayerNormMainLayerTFRobertaPreLayerNormModel$TFRobertaPreLayerNormPreTrainedModel)TFRoFormerForCausalLMTFRoFormerForMaskedLMTFRoFormerForMultipleChoiceTFRoFormerForQuestionAnswering#TFRoFormerForSequenceClassification TFRoFormerForTokenClassificationTFRoFormerModelTFRoFormerPreTrainedModel
TFSamModelTFSamPreTrainedModel)TFSegformerDecodeHead!TFSegformerForImageClassification"TFSegformerForSemanticSegmentationTFSegformerModelTFSegformerPreTrainedModel)%TFSpeech2TextForConditionalGenerationTFSpeech2TextModelTFSpeech2TextPreTrainedModel)#TFSwiftFormerForImageClassificationTFSwiftFormerModelTFSwiftFormerPreTrainedModel)TFSwinForImageClassificationTFSwinForMaskedImageModelingTFSwinModelTFSwinPreTrainedModel)TFT5EncoderModelTFT5ForConditionalGeneration	TFT5ModelTFT5PreTrainedModel)TFTapasForMaskedLMTFTapasForQuestionAnswering TFTapasForSequenceClassificationTFTapasModelTFTapasPreTrainedModelTFVisionEncoderDecoderModelTFVisionTextDualEncoderModel)TFViTForImageClassification
TFViTModelTFViTPreTrainedModel)TFViTMAEForPreTrainingTFViTMAEModelTFViTMAEPreTrainedModel)TFWav2Vec2ForCTC#TFWav2Vec2ForSequenceClassificationTFWav2Vec2ModelTFWav2Vec2PreTrainedModel)!TFWhisperForConditionalGenerationTFWhisperModelTFWhisperPreTrainedModel)TFXGLMForCausalLMTFXGLMModelTFXGLMPreTrainedModel)TFXLMForMultipleChoiceTFXLMForQuestionAnsweringSimpleTFXLMForSequenceClassificationTFXLMForTokenClassificationTFXLMMainLayer
TFXLMModelTFXLMPreTrainedModelTFXLMWithLMHeadModel)TFXLMRobertaForCausalLMTFXLMRobertaForMaskedLMTFXLMRobertaForMultipleChoice TFXLMRobertaForQuestionAnswering%TFXLMRobertaForSequenceClassification"TFXLMRobertaForTokenClassificationTFXLMRobertaModelTFXLMRobertaPreTrainedModel)TFXLNetForMultipleChoice!TFXLNetForQuestionAnsweringSimple TFXLNetForSequenceClassificationTFXLNetForTokenClassificationTFXLNetLMHeadModelTFXLNetMainLayerTFXLNetModelTFXLNetPreTrainedModel)AdamWeightDecayGradientAccumulatorWarmUpcreate_optimizeroptimization_tftf_utils)dummy_tf_objectszutils.dummy_tf_objectsPop2PianoFeatureExtractorPop2PianoTokenizerPop2PianoProcessor)Fdummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectszLutils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsMusicgenMelodyFeatureExtractorMusicgenMelodyProcessor)dummy_torchaudio_objectszutils.dummy_torchaudio_objects)!FlaxForcedBOSTokenLogitsProcessor!FlaxForcedEOSTokenLogitsProcessorFlaxForceTokensLogitsProcessorFlaxGenerationMixinFlaxLogitsProcessorFlaxLogitsProcessorListFlaxLogitsWarperFlaxMinLengthLogitsProcessorFlaxTemperatureLogitsWarper(FlaxSuppressTokensAtBeginLogitsProcessor!FlaxSuppressTokensLogitsProcessorFlaxTopKLogitsWarperFlaxTopPLogitsWarper#FlaxWhisperTimeStampLogitsProcessormodeling_flax_outputsFlaxPreTrainedModelmodeling_flax_utils)FlaxAlbertForMaskedLMFlaxAlbertForMultipleChoiceFlaxAlbertForPreTrainingFlaxAlbertForQuestionAnswering#FlaxAlbertForSequenceClassification FlaxAlbertForTokenClassificationFlaxAlbertModelFlaxAlbertPreTrainedModel)+FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_CAUSAL_LM_MAPPING+FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING FLAX_MODEL_FOR_MASKED_LM_MAPPING&FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING/FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING"FLAX_MODEL_FOR_PRETRAINING_MAPPING)FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING+FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING'FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING+FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING#FLAX_MODEL_FOR_VISION_2_SEQ_MAPPINGFLAX_MODEL_MAPPINGFlaxAutoModelFlaxAutoModelForCausalLM#FlaxAutoModelForImageClassificationFlaxAutoModelForMaskedLMFlaxAutoModelForMultipleChoice&FlaxAutoModelForNextSentencePredictionFlaxAutoModelForPreTraining!FlaxAutoModelForQuestionAnsweringFlaxAutoModelForSeq2SeqLM&FlaxAutoModelForSequenceClassificationFlaxAutoModelForSpeechSeq2Seq#FlaxAutoModelForTokenClassificationFlaxAutoModelForVision2Seq)FlaxBartDecoderPreTrainedModelFlaxBartForCausalLM FlaxBartForConditionalGenerationFlaxBartForQuestionAnswering!FlaxBartForSequenceClassificationFlaxBartModelFlaxBartPreTrainedModel)FlaxBeitForImageClassificationFlaxBeitForMaskedImageModelingFlaxBeitModelFlaxBeitPreTrainedModel)
FlaxBertForCausalLMFlaxBertForMaskedLMFlaxBertForMultipleChoice!FlaxBertForNextSentencePredictionFlaxBertForPreTrainingFlaxBertForQuestionAnswering!FlaxBertForSequenceClassificationFlaxBertForTokenClassificationFlaxBertModelFlaxBertPreTrainedModel)	FlaxBigBirdForCausalLMFlaxBigBirdForMaskedLMFlaxBigBirdForMultipleChoiceFlaxBigBirdForPreTrainingFlaxBigBirdForQuestionAnswering$FlaxBigBirdForSequenceClassification!FlaxBigBirdForTokenClassificationFlaxBigBirdModelFlaxBigBirdPreTrainedModel)&FlaxBlenderbotForConditionalGenerationFlaxBlenderbotModelFlaxBlenderbotPreTrainedModel)+FlaxBlenderbotSmallForConditionalGenerationFlaxBlenderbotSmallModel"FlaxBlenderbotSmallPreTrainedModel)FlaxBloomForCausalLMFlaxBloomModelFlaxBloomPreTrainedModel)FlaxCLIPModelFlaxCLIPPreTrainedModelFlaxCLIPTextModelFlaxCLIPTextPreTrainedModelFlaxCLIPTextModelWithProjectionFlaxCLIPVisionModelFlaxCLIPVisionPreTrainedModel)FlaxDinov2Model FlaxDinov2ForImageClassificationFlaxDinov2PreTrainedModel)FlaxDistilBertForMaskedLMFlaxDistilBertForMultipleChoice"FlaxDistilBertForQuestionAnswering'FlaxDistilBertForSequenceClassification$FlaxDistilBertForTokenClassificationFlaxDistilBertModelFlaxDistilBertPreTrainedModel)	FlaxElectraForCausalLMFlaxElectraForMaskedLMFlaxElectraForMultipleChoiceFlaxElectraForPreTrainingFlaxElectraForQuestionAnswering$FlaxElectraForSequenceClassification!FlaxElectraForTokenClassificationFlaxElectraModelFlaxElectraPreTrainedModelFlaxEncoderDecoderModel)FlaxGPT2LMHeadModelFlaxGPT2ModelFlaxGPT2PreTrainedModel)FlaxGPTNeoForCausalLMFlaxGPTNeoModelFlaxGPTNeoPreTrainedModel)FlaxGPTJForCausalLMFlaxGPTJModelFlaxGPTJPreTrainedModel)FlaxLlamaForCausalLMFlaxLlamaModelFlaxLlamaPreTrainedModel)FlaxGemmaForCausalLMFlaxGemmaModelFlaxGemmaPreTrainedModel)"FlaxLongT5ForConditionalGenerationFlaxLongT5ModelFlaxLongT5PreTrainedModel)FlaxMarianModelFlaxMarianMTModelFlaxMarianPreTrainedModel)!FlaxMBartForConditionalGenerationFlaxMBartForQuestionAnswering"FlaxMBartForSequenceClassificationFlaxMBartModelFlaxMBartPreTrainedModel)FlaxMistralForCausalLMFlaxMistralModelFlaxMistralPreTrainedModel)FlaxMT5EncoderModelFlaxMT5ForConditionalGenerationFlaxMT5Model)FlaxOPTForCausalLMFlaxOPTModelFlaxOPTPreTrainedModel)#FlaxPegasusForConditionalGenerationFlaxPegasusModelFlaxPegasusPreTrainedModel) FlaxRegNetForImageClassificationFlaxRegNetModelFlaxRegNetPreTrainedModel) FlaxResNetForImageClassificationFlaxResNetModelFlaxResNetPreTrainedModel)FlaxRobertaForCausalLMFlaxRobertaForMaskedLMFlaxRobertaForMultipleChoiceFlaxRobertaForQuestionAnswering$FlaxRobertaForSequenceClassification!FlaxRobertaForTokenClassificationFlaxRobertaModelFlaxRobertaPreTrainedModel)"FlaxRobertaPreLayerNormForCausalLM"FlaxRobertaPreLayerNormForMaskedLM(FlaxRobertaPreLayerNormForMultipleChoice+FlaxRobertaPreLayerNormForQuestionAnswering0FlaxRobertaPreLayerNormForSequenceClassification-FlaxRobertaPreLayerNormForTokenClassificationFlaxRobertaPreLayerNormModel&FlaxRobertaPreLayerNormPreTrainedModel)FlaxRoFormerForMaskedLMFlaxRoFormerForMultipleChoice FlaxRoFormerForQuestionAnswering%FlaxRoFormerForSequenceClassification"FlaxRoFormerForTokenClassificationFlaxRoFormerModelFlaxRoFormerPreTrainedModelFlaxSpeechEncoderDecoderModel)FlaxT5EncoderModelFlaxT5ForConditionalGenerationFlaxT5ModelFlaxT5PreTrainedModelFlaxVisionEncoderDecoderModelFlaxVisionTextDualEncoderModel)FlaxViTForImageClassificationFlaxViTModelFlaxViTPreTrainedModel)FlaxWav2Vec2ForCTCFlaxWav2Vec2ForPreTrainingFlaxWav2Vec2ModelFlaxWav2Vec2PreTrainedModel)#FlaxWhisperForConditionalGenerationFlaxWhisperModelFlaxWhisperPreTrainedModel!FlaxWhisperForAudioClassification)FlaxXGLMForCausalLMFlaxXGLMModelFlaxXGLMPreTrainedModel)FlaxXLMRobertaForMaskedLMFlaxXLMRobertaForMultipleChoice"FlaxXLMRobertaForQuestionAnswering'FlaxXLMRobertaForSequenceClassification$FlaxXLMRobertaForTokenClassificationFlaxXLMRobertaModelFlaxXLMRobertaForCausalLMFlaxXLMRobertaPreTrainedModel)dummy_flax_objectszutils.dummy_flax_objects)r0   )rV   )rX   rY   )ra   )rq   )r{   )r   r   )r   )r   r   )r   )r   )r   )r   )r   )r   r   )r   )r   r   )r   r   )r   )r   r   )r   )r   )r   r   )r   r   )r   )r   )r   r   )r   )r   )r   r   )r   r   )r   )r   r   )r   )r   r   )r   )r   )r   )r   )r   )r   )r   )r   r   )r   )r   )r   )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  r  )r$  )r%  )r&  r'  )r(  r)  )r*  )r+  )r,  r-  )r.  )r/  )r4  r5  )r;  )r<  )r=  r>  )r?  r@  )rA  )rB  )rC  )rG  )rH  )rI  rJ  )rK  )rL  )rM  )rN  )rO  )rP  )rQ  )rR  rS  )rW  )rX  )rY  )rZ  )r[  )r\  )r]  )r^  )r_  )rh  )ri  )rj  rk  )rl  rm  )rx  )ry  rz  )r{  )r|  )r}  )r~  r  )r  r  )r  r  )r  r  )r  r  )r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  )r  )r  r  )r  r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  )r  )r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r  )r  r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  )r  )r  r  )r  )r  )r  r  )r  )r  r  )r  )r  )r  )r  )r  )r  r  )r  )r  r  )r  r  )r  r  )r  )r  )r  )r	  )r
  )r  )r  )r  r  )r  r  )r  )r  )r  )r  )r   )r!  )r"  )r#  )r$  )r%  )r&  r'  )r(  )r)  )r*  )r+  r,  )r-  r.  )r/  r0  )r1  )r2  )r3  )r4  r5  )r6  )r7  )r8  )r=  )r>  )r?  r@  )rA  )rB  )rC  )rD  )rE  )rF  )rG  rH  )rI  )rO  rP  )rQ  )rR  )rS  )rT  )r]  )r^  r_  )r`  )ra  )rb  )rc  )rd  )re  )rf  )rg  )r  )r  )r  )r  )r  ),r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r
   r   r  r  r  r  r  r  r   r   r  r   r   r   r   r   r   r  r  r  r  r  r  r  r   r   r   )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )r  )*)r  )r  )r  )r   )r  )r  )r  )r  )r  )r  )r  )r  )r	  )r
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  )r
  r
  )r  )r  )rG  rI  rH  )rK  rL  )rN  rO  rP  rQ  rR  rS  rT  rU  rW  rX  rV  rY  rZ  r[  )r]  )r  r  r  r  r  r  r  )r  r  r  )r  )r  )r  )r  )r  r  r  r  )r"  r  r  r  r  r   r!  r#  N__file____version__)module_specextra_objectszNone of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.(N  r'  typingr    r   r  r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   
get_logger__name__logger_import_structureappendr  dir
startswithextendr?  rB  rD  rF  r  r  r	  rF  rJ  rM  r$  r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r/   r0   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   rE   rF   data.data_collatorrG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rU   rV   rW   rX   rY   r[   r\   r]   r^   r_   r`   ra   rd   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   rp   rq   rr   rs   rt   ru   rv   rw   rx   ry   models.albertr{   models.alignr|   r}   r~   r   models.altclipr   r   r   r   $models.audio_spectrogram_transformerr   r   models.autor   r   r   r   r   r   r   r   r   r   r   models.autoformerr   models.barkr   r   r   r   r   models.bartr   r   models.beitr   models.bertr   r   r   r   models.bert_generationr   models.bert_japaneser   r   r   models.bertweetr   models.big_birdr   models.bigbird_pegasusr   models.biogptr   r   
models.bitr   models.blenderbotr   r   models.blenderbot_smallr   r   models.blipr   r   r   r   models.blip_2r   r   r   r   models.bloomr   models.bridgetowerr   r   r   r   models.brosr   r   models.byt5r   models.camembertr   models.caniner   r   models.chameleonr   r   r   models.chinese_clipr   r   r   r   models.clapr   r   r   r   models.clipr   r   r   r   r   models.clipsegr   r   r   r   models.clvpr   r   r   r   r   r   models.codegenr   r   models.coherer   models.conditional_detrr   models.convbertr   r   models.convnextr   models.convnextv2r   models.cpmantr   r   models.ctrlr   r   
models.cvtr   
models.dacr   r   models.data2vecr   r   r   models.dbrxr   models.debertar   r   models.deberta_v2r   models.decision_transformerr   models.deformable_detrr   models.deitr   models.deprecated.detar   !models.deprecated.efficientformerr   models.deprecated.ernie_mr   !models.deprecated.gptsan_japaneser   r   models.deprecated.graphormerr   models.deprecated.jukeboxr   r   r   r   models.deprecated.mctctr   r   r   models.deprecated.megar   models.deprecated.mmbtr   models.deprecated.natr  models.deprecated.nezhar  models.deprecated.open_llamar  models.deprecated.qdqbertr  models.deprecated.realmr  r  models.deprecated.retribertr  r  "models.deprecated.speech_to_text_2r	  r
  r  models.deprecated.tapexr  (models.deprecated.trajectory_transformerr  models.deprecated.transfo_xlr  r  r  models.deprecated.tvltr  r  r  models.deprecated.vanr  models.deprecated.vit_hybridr   models.deprecated.xlm_prophetnetr  models.depth_anythingr  models.detrr  models.dinatr  models.dinov2r  models.distilbertr  r  models.donutr  r  
models.dprr  r   r!  r"  r#  
models.dptr$  models.efficientnetr%  models.electrar&  r'  models.encodecr(  r)  models.encoder_decoderr*  models.ernier+  
models.esmr,  r-  models.falconr.  models.falcon_mambar/  models.fastspeech2_conformerr0  r1  r2  r3  models.flaubertr4  r5  models.flavar6  r7  r8  r9  r:  models.fnetr;  models.focalnetr<  models.fsmtr=  r>  models.funnelr?  r@  models.fuyurA  models.gemmarB  models.gemma2rC  
models.gitrD  rE  rF  
models.glmrG  models.glpnrH  models.gpt2rI  rJ  models.gpt_bigcoderK  models.gpt_neorL  models.gpt_neoxrM  models.gpt_neox_japaneserN  models.gptjrO  models.graniterP  models.granitemoerQ  models.grounding_dinorR  rS  models.groupvitrT  rU  rV  models.herbertrW  models.hierarX  models.hubertrY  models.ibertrZ  models.ideficsr[  models.idefics2r\  models.idefics3r]  models.imagegptr^  models.informerr_  models.instructblipr`  ra  rb  rc  models.instructblipvideord  re  rf  rg  models.jambarh  models.jetmoeri  models.kosmos2rj  rk  models.layoutlmrl  rm  models.layoutlmv2rn  ro  rp  rq  rr  models.layoutlmv3rs  rt  ru  rv  rw  models.layoutxlmrx  
models.ledry  rz  models.levitr{  models.liltr|  models.llamar}  models.llavar~  r  models.llava_nextr  r  models.llava_next_videor  r  models.llava_onevisionr  r  models.longformerr  r  models.longt5r  models.luker  r  models.lxmertr  r  models.m2m_100r  models.mambar  models.mamba2r  models.marianr  models.markuplmr  r  r  r  models.mask2formerr  models.maskformerr  r  models.mbartr  models.megatron_bertr  models.mgp_strr  r  r  models.mimir  models.mistralr  models.mixtralr  models.mllamar  r  models.mobilebertr  r  models.mobilenet_v1r  models.mobilenet_v2r  models.mobilevitr  models.mobilevitv2r  models.moshir  r  models.mpnetr  r  
models.mptr  
models.mrar  
models.mt5r  models.musicgenr  r  models.musicgen_melodyr  r  
models.mvpr  r  models.myt5r  models.nemotronr  models.nllb_moer  models.nougatr  models.nystromformerr  models.olmor  models.olmoer  models.omdet_turbor  r  models.oneformerr  r  models.openair  r  
models.optr  models.owlv2r  r  r  r  models.owlvitr  r  r  r  models.paligemmar  models.patchtsmixerr  models.patchtstr  models.pegasusr  r  models.pegasus_xr  models.perceiverr  r  models.persimmonr  
models.phir  models.phi3r  models.phimoer  models.phobertr  models.pix2structr  r  r  r  models.pixtralr  r  models.plbartr  models.poolformerr  models.pop2pianor  models.prophetnetr  r  
models.pvtr  models.pvt_v2r  models.qwen2r  r  models.qwen2_audior  r  r  models.qwen2_moer  models.qwen2_vlr  r  
models.ragr  r  r  models.recurrent_gemmar  models.reformerr  models.regnetr  models.rembertr  models.resnetr  models.robertar  r  models.roberta_prelayernormr  models.roc_bertr  r  models.roformerr  r  models.rt_detrr  r  models.rwkvr  
models.samr  r   r  r  r  models.seamless_m4tr  r  r  models.seamless_m4t_v2r  models.segformerr  models.seggptr	  
models.sewr
  models.sew_dr  models.siglipr  r  r  r  models.speech_encoder_decoderr  models.speech_to_textr  r  r  models.speecht5r  r  r  r  models.splinterr  r  models.squeezebertr  r  models.stablelmr  models.starcoder2r  models.superpointr  models.swiftformerr  models.swinr   models.swin2srr!  models.swinv2r"  models.switch_transformersr#  	models.t5r$  models.table_transformerr%  models.tapasr&  r'  models.time_series_transformerr(  models.timesformerr)  models.timm_backboner*  models.trocrr+  r,  
models.tvpr-  r.  models.udopr/  r0  models.umt5r1  models.unispeechr2  models.unispeech_satr3  models.univnetr4  r5  models.upernetr6  models.video_llavar7  models.videomaer8  models.viltr9  r:  r;  r<  models.vipllavar=  models.vision_encoder_decoderr>  models.vision_text_dual_encoderr?  r@  models.visual_bertrA  
models.vitrB  models.vit_maerC  models.vit_msnrD  models.vitdetrE  models.vitmatterF  models.vitsrG  rH  models.vivitrI  models.wav2vec2rJ  rK  rL  rM  rN  models.wav2vec2_bertrO  rP  models.wav2vec2_conformerrQ  models.wav2vec2_phonemerR  models.wav2vec2_with_lmrS  models.wavlmrT  models.whisperrU  rV  rW  rX  models.x_cliprY  rZ  r[  r\  models.xglmr]  
models.xlmr^  r_  models.xlm_robertar`  models.xlm_roberta_xlra  models.xlnetrb  models.xmodrc  models.yolosrd  models.yosore  models.zambarf  models.zoedepthrg  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  utils.quantization_configr  r  r  r  r  r  r  r  r  r  r  r  models.barthezr  models.bartphor  r  r  r  models.code_llamar  
models.cpmr  r  r  r  r  r  models.gpt_sw3r  r  r  r  r  r  models.mbart50r  models.mluker  r  models.nllbr  r  r  r  r  r  r  r  r  r  r  r  r  !utils.dummy_sentencepiece_objectsr  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r>  r=  utils.dummy_tokenizers_objectsrA  r@  2utils.dummies_sentencepiece_and_tokenizers_objectsrC  #utils.dummy_tensorflow_text_objectsrE  utils.dummy_keras_nlp_objectsrH  rG  rJ  rI  rL  rK  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  utils.dummy_vision_objectsr  r  r  utils.dummy_torchvision_objectsbenchmark.benchmarkr  benchmark.benchmark_argsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  data.datasetsr  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  integrations.executorchr  r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r,  r*  r+  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  r{  rz  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  r@  rA  rB  rC  rD  rE  rF  rG  rH  rI  rJ  rK  rL  rM  rN  rO  rP  rQ  rR  rS  rT  rU  rV  rW  rX  rY  rZ  r[  r\  r]  r^  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r 	  r	  r	  r	  r	  r	  r	  r	  r	  r		  r
	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 	  r!	  r"	  r#	  r$	  r%	  r&	  r'	  r(	  r)	  r*	  r+	  r,	  r-	  r.	  r/	  r0	  r1	  r2	  r3	  r4	  r5	  r6	  r7	  r8	  r9	  r:	  r;	  r<	  r=	  r>	  r?	  r@	  rA	  rB	  rC	  rD	  rE	  rF	  rG	  rH	  rI	  rJ	  rK	  rL	  rM	  rN	  rO	  rP	  rQ	  rR	  rS	  rT	  rU	  rV	  rW	  rX	  rY	  rZ	  r[	  r\	  r]	  r^	  r_	  r`	  ra	  rb	  rc	  rd	  re	  rf	  rg	  rh	  ri	  rj	  rk	  rl	  rm	  rn	  ro	  rp	  rq	  rr	  rs	  rt	  ru	  rv	  rw	  rx	  ry	  rz	  r{	  r|	  r}	  r~	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  utils.dummy_pt_objectsbenchmark.benchmark_args_tfr	  benchmark.benchmark_tfr	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r	  r 
  r
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  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r!  r"  r#  r$  r%  r&  r'  r(  r)  r*  r+  r,  r-  r.  r/  r0  r1  r2  r3  r4  r5  r6  r7  r8  r9  r:  r;  r<  r=  r>  r?  rD  r@  rA  rB  rC  utils.dummy_tf_objectsrG  rI  rH  Lutils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objectsrK  rL  utils.dummy_torchaudio_objectsrN  rO  rP  rQ  rR  rS  rT  rU  rW  rX  rV  rY  rZ  r[  r^  r]  r_  r`  ra  rb  rc  rd  re  rf  rg  rh  ri  rj  rk  rl  rm  rn  ro  rp  rq  rr  rs  rt  ru  rv  rw  rx  ry  rz  r{  r|  r}  r~  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r   r  r  r  r  r  r  r  r  r	  r
  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r"  r  r  r  r  r   r!  r#  utils.dummy_flax_objectssysglobals__spec__moduleswarning_advice)names   0R/var/www/html/answerous/venv/lib/python3.12/site-packages/transformers/__init__.py<module>rs     s  *    (     2 
		H	%c c& 2'c( )c* +c, ./-c. R/c0 221c2 03c4  5c\  ]cv Bwcx rycz 2{c|  }c~  c@ BAcB (*D)ECcD 1I JEcF "GcH  IcT '(UcV RWcX YcZ  [cr Bsct +ucx   "ycL bMcN n%OcP  Qc\  ]ch +-icp  qcJ ,-KcL  McZ L/2[c\ b]c^ b_c` L>acb  ccn 56ocp  qcz +,{c| (}c~ 56c@ AcH ;-IcJ KcR " ScZ  [cf  gcr ]Osct  uc@ AcH O$IcJ *+KcL McT  Uc^  _cj  kcv  wcD  EcP  Qc` acb ccj n%kcl  78mcn ocv ()wcx ,-ycz "{c| }cD EcL ;-McN ; 56OcP  QcZ L>[c\ ]cd +,ecf "$?#@gch 56icj L>kcl mcn bocp |nqcr (*A)Bsct  .!1ucv (!*wc~ #%7$8c@	   "A	cL	   M	cV	 |nW	cX	 |nY	cZ	 k][	c\	 ]	c^	 #%6$7_	c`	  /!2a	cb	  c	cj	 "$k	cr	 ) +s	c|	  01}	c~	 /1N0O	c@
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cD ;-EcF 01GcH IcP !QcX 56YcZ ]O[c\ ;/]c^ n%_c` /0acb # %ccn (*=>ocp  qc~ L>c@ ()AcB CcJ KcR L>ScT ]OUcV n%WcX  Ycb ;-ccd L>ecf gcn -.ocp ~&qcr (sct !8 9ucv bwcx L>ycz '{c| ,-}c~  cF  GcP )*QcR ]OScT n%UcV ]OWcX 'YcZ ()[c\ ()]c^ ()_c` ()acb  ccn  !ocz ]O{c| n%}c~ cF GcN  Oc\  ]cj -.kcl ;/mcn ]Oocp L>qcr ]Osct uc| }cD ! EcL 57PQMcN OcV n%WcX Yc` ach ~&icj ]Okcl n%mcn n%ocp  qc| ./}c~ cF ]OGcH bIcJ 12KcL BMcN  OcX L>YcZ '[c\ ']c^ _cf Bgch icp /0qcr /0sct *+ucv ./wcx yc@ AcH ;-IcJ ;-KcL ;-McN OcV %Wc^ ;/_c` O$acb ()ccd 2ecf (gch '(icj 23kcl L>mcn ]Oocp qcx yc@ AcH ;-IcJ  KcV  Wcb *+ccd 01ecf ()gch icp )*qcr scz *+{c| ;-}c~ L>c@ n%AcB )*CcD  EcP )+@AQcR n%ScT ,-UcV *+WcX Yc` ;-acb m_ccd ecl  mcv )*wcx yc@ ?AcB 56CcD ()EcF n%GcH 'IcJ n%KcL McT "$?#@UcV Wc^ _cf ~';<gch L>icj  kcx  ycB 45CcD *+EcF n%GcH ;-IcJ \NKcL  McX $&B%CYcZ  [cd  ecp qcx yc@ ()AcB ,-CcD ,-EcF ./GcH L>IcJ 'KcL n%McN !#=">OcP *QcR !9 :ScT Uc\ %'D&E]c^ ./_c` 12acb ccj kcr scz L>{c| *+}c~ 12c@ !AcH 'IcJ -.KcL ()McN  OcZ ()[c\ $&B%C]c^ &%((_cf -.gch ;-icj ~&kcl ~&mcn n%ocp ()qcr scz ]O{c|  }cJ KcR  ";!<ScT  =>UcV  9:WcX ]OYcZ  [cf  gcr L>sct ;/ucv -.wcx 23ycz ]O{c| L>}c~ ]Oc@ L>AcB ]OCcD ()EcF BGcH  $IcR )*ScT "UcV RWcX 01YcZ   [cj  kc|  }cJ )*KcL 89McN ./OcP  -Qcl   "mc L-?%',.. ( o&--.?@&'../AB&'../AB./667PQ'(//0BC()001EF)*112FGl#**>:)*112FG1299:KL89@@AYZm$++O<n%,,-=>&'../@A()001EFn%,,-=>&'../@Ao&--.?@n%,,-=>&'../ABn%,,-=>l#**>:m$++O<&'../ABo&--.?@'(//0CD&'../AB+,334JKo&--.?@-.556LM'(//0CDk"))-8m$++O<m$++O<*+223HIn%,,-=>OO"$,.. % o&--.CDm$++,?@&'../EFm$++,?@'(//0FG)*112KL/0778VWn%,,-AB()001IJm$++,?@)*112JK&'../EFo&--.CD'(//0GHl#**+=>&'../EF)*112JK/0778LM34;;<TU)*112KLl#**	
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',..  +-&'8V7W343H2I./l#**	
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,'( %'j!G!#  $&,.. ' ()001LM()001EF()001EFR"$,.. % ./667WX./667PQN,..  l#**	
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 ./667PQm$++,op&'..Q m$++,opn%,,-stn%,,-sto&--	
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 56==>]^k"))	
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     $ 6    (    L ON ed.   %   ,        76'  = 
 3.  &     *   +  
        ,+   0/    &%   
 ('     ('22  87  ?>    
 32220044  98    
 87   
  
 10   ;:''))++      &%    =<))33++66   CB    ('//   ('))++  
 &%''   -,..  ('--33   
 10))++))  0///////     *)++         5433))''))      ,+   -,))++++     *)   
  .---         &%%%%%   43**//....  ('))    &%       0/     &%''++00    ,+    &%**99  
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