transformers/__init__.py,sha256=8WVvIxJyaGz9209D3BXmzjo3Qo8kpwYwx60YSY45Yqs,81507
transformers/activations.py,sha256=HcUI0XQzfEOLaTdCghCXQ63N643eb_rI-iQYqFGwbds,3093
transformers/activations_tf.py,sha256=gXpcb9_xkd9VyoxkSlHZuOPLabXWUEh7TIX1rbvSPNw,2557
transformers/configuration_utils.py,sha256=Unhh95g4_B9I2PN_BYYfGdAMzUN-X1NduhVyPW6aMsU,32156
transformers/convert_graph_to_onnx.py,sha256=WCBrO-ZQ9ibATVOEffEh5vVO9hi-glRf6heGm9Kohfw,18445
transformers/convert_pytorch_checkpoint_to_tf2.py,sha256=rf1WdamCPWwCckf8auWsu4gQVIiKjfNZnOp35mHBxvY,16259
transformers/convert_slow_tokenizer.py,sha256=rCtRNEKEq0vx6_X57ocq_5ARASmNt38GTSgRHEEngNQ,23272
transformers/convert_slow_tokenizers_checkpoints_to_fast.py,sha256=qxFbl3RBAwPGvqxinC5Hag8jv6NOqoOuTNmL3bLa4_U,5132
transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py,sha256=qihFx3XafUG-xdwKDl6P-YfP0Vgv35t5WbLuCkK7ZJ0,2920
transformers/dependency_versions_check.py,sha256=spE1KH9yAofw8hC7_5EvGTF-yl8-FNRtKttf1rY6kWg,1677
transformers/dependency_versions_table.py,sha256=fTtY-4NZK0jUs8Bvo4ysnrt2YeAmACELmP80b-Zr_CY,1795
transformers/file_utils.py,sha256=z870K54qXhrilKs-It5AJ2oOcNrvVVyroa7X1B3NC4g,55692
transformers/generation_beam_search.py,sha256=ffNxorM8jhBxIKZU2iCm4kBLGrEPAf2e_f9qUAt2IN8,17340
transformers/generation_logits_process.py,sha256=HejcEV1wiuDf4rkHhpXddXOa999DTjAEJtAlJYQRtRc,21967
transformers/generation_tf_utils.py,sha256=LaXC0mTu2pQHar-T0TBp9zpg3uy6aoaVofXH5xDcBzM,55164
transformers/generation_utils.py,sha256=b05tikO7YyofeT1vj6ja6tSftxH_tUpLFFBfQfNLhAA,123200
transformers/hf_api.py,sha256=maI6QUaUOUJWScAGODO94cbkqtmUOBWsC0NxMFGEkVQ,11433
transformers/hf_argparser.py,sha256=ZM0rUOlQ21IFAuezuWRlwT2jVI8Ac-G7nnIdT6wVjEo,9021
transformers/integrations.py,sha256=tApy5Prh8Pm3vbBBVR1yUl5oI8DJv72z9oDyxpkWZ5Q,31592
transformers/modelcard.py,sha256=P0O6Zz8al1pAvxu367QaFhXjrH8X7xGdC6VDxP5_Tu4,10029
transformers/modeling_flax_utils.py,sha256=E0ubSacgJ7Jq9QY5RPVzXJ3hNmnwFVV4oakQESQT74k,19280
transformers/modeling_outputs.py,sha256=pWp6rVYgFoW4GPPDzOB-M3T1FzUJG4iv0gXLLNVJOKk,52392
transformers/modeling_tf_outputs.py,sha256=DpvochvjwMbn3JuNHHkfxCDyJcRnbrNEM6ZZ-OUAMF0,35957
transformers/modeling_tf_pytorch_utils.py,sha256=6w3v5CqwDcsbEwU8wp4DnzbbB0ugnOtOsthXEEhA77Y,17208
transformers/modeling_tf_utils.py,sha256=-bLRJlrOnzuwvJYAp4KDCRH5Rtw4VXBTr6sriOFYoKw,72081
transformers/modeling_utils.py,sha256=IObf3lfurx8myhO-LEZ9XKIjX_Z1Ujlle5XxCC98Rh4,86892
transformers/optimization.py,sha256=nNyT79fR5-0UdVCl8o92gqRqgZ5wdMMoO7WRC-AE3gI,24890
transformers/optimization_tf.py,sha256=NKhkBEmiK-oucP3JruOJJ46j70-40KHVKa8QEvfVYg0,15896
transformers/pipelines.py,sha256=-dgTbx-kvcor0fInS036zHGfh7UygxOeXhytoIpvbGU,147208
transformers/testing_utils.py,sha256=i0AzQR7Ywj6ANUtoRwTeeADI9K-1JlXDBurPgubj4i8,34346
transformers/tokenization_utils.py,sha256=aSBxulERHd16k8FfmXTNk7BNRIbLZ3kvh2C2wl0gQUI,30898
transformers/tokenization_utils_base.py,sha256=EWebM5q8aEYcmAOMPNuvLDKlJr3ZbAJOhkxvuRh3y3I,157980
transformers/tokenization_utils_fast.py,sha256=SOr-1ribLr6SgEzEbjhrkex91pQ84xFKEyG_jXrVquM,22187
transformers/trainer.py,sha256=_7hyWytBvT4I08dsuG_K-OhaI5FOB5p1A4f0gi36miY,80699
transformers/trainer_callback.py,sha256=UjgQRvPjVeJtQhHwFXg2HliM2sVKAwirflZH4zW1ris,23124
transformers/trainer_pt_utils.py,sha256=bN6SCckmv0Ky1q1N7dzcFRicv-vp_Eh6uF0vq1MviQU,16583
transformers/trainer_seq2seq.py,sha256=VNBrTURgj82KfM5DuZDUSjB-u1zEimtwysB0lQRQalY,10504
transformers/trainer_tf.py,sha256=6sRZSOEcOCfjIzdakORXfSdevejI2wJceh2hB14iMHE,33328
transformers/trainer_utils.py,sha256=wsvcfNEmQVlhda-EN6-Wkr5-25vqo2yPAuSNfsnZaZk,6545
transformers/training_args.py,sha256=QgPBNrjOgXh7dz94XINbhsaIJrncjjYFAIXj8hkfbas,30146
transformers/training_args_seq2seq.py,sha256=mHau-QBp-b0NMBRraU2MOS7ibQSF2YoL0iuuow4eM2o,1754
transformers/training_args_tf.py,sha256=63p7PjVBDrPvHYi6sxzhaoHzkDzM_gmlEVBeabbeexk,12875
transformers/benchmark/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/benchmark/benchmark.py,sha256=XKUjLnP4uLK57DfGPlL09f-_m6lAKqq6aFfYdA-fCv0,10629
transformers/benchmark/benchmark_args.py,sha256=TSaQ9z4kIOX27VzbFco7OGzdt0y2Rze7qgMj8oDrWFM,3777
transformers/benchmark/benchmark_args_tf.py,sha256=r84A8jMUserwHmuQc9hgfhh6zJMRagUhsdwHdFJ8a1I,4573
transformers/benchmark/benchmark_args_utils.py,sha256=bKmk1DYEXSVVCpqbcFuB6XeR_rcD_2joXSqkpVTHSc4,5895
transformers/benchmark/benchmark_tf.py,sha256=AsTzEPXXXd5uNtSK-1IFNP1QFNpSdow2plz0g0HxhFY,12940
transformers/benchmark/benchmark_utils.py,sha256=2aOnuR2QKNu4bqksceybV5A0Iou9DsN1x-xK727mNDk,37343
transformers/commands/__init__.py,sha256=aFO3I7C6G9OLA9JZSc_yMaZl0glOQtjNPjqMFfu9wfQ,923
transformers/commands/add_new_model.py,sha256=7h5FBPPUEgHxXVUFL53UShZoSjnVnh-ff7TOlz1ZAs8,9392
transformers/commands/convert.py,sha256=AaCZQ7MX3RW15w1DqGW5QHXvOlkZMO_oTYMxCIbx8R8,7189
transformers/commands/download.py,sha256=LgjPfIvyS4T_CUWyaEfTdzm70ukcmE088XcARc98SKc,1860
transformers/commands/env.py,sha256=EaidrYElMv6BZwr8d9ns9i-yo9VOjXexwFX85WATumE,2604
transformers/commands/lfs.py,sha256=w2-rDAD0Dx5-87HWqDOl0bPNr883pBf4ckbdg77Ge0o,7647
transformers/commands/run.py,sha256=uhnVRbPm4Ns5yumc2PW-C5tqoCmMcaggM4juEEjosuc,4263
transformers/commands/serving.py,sha256=EHsm-8djDGikAs4dgNmxvpTJ40GeUwy-EmzlyFZyXKQ,8013
transformers/commands/train.py,sha256=nc8yWIFfTYdb5w2JR-a7lI_arRV7C8yWwo8nmU44qWQ,6397
transformers/commands/transformers_cli.py,sha256=3SbLbWHB7YD5yAFlkiVPv7y2i2SD59ouQn132C_47uU,1837
transformers/commands/user.py,sha256=0eEcafHIJKTgpXTB6x1j_10QCAXFjDE7Km3jcVXvY3o,14565
transformers/data/__init__.py,sha256=R-RTJ0SCSk2tAZmM7uiB_EeDrgMVfg0GxVkKIU58ikk,1271
transformers/data/data_collator.py,sha256=4eQOCG6T2dNgnFh9HouyYk5zZ9NTlhW2-uPgmtQ6ZzQ,31418
transformers/data/test_generation_utils.py,sha256=mImkKgzBwIyM4YyYU43EI_33giCE7RFOdx0AXyrrxIg,3438
transformers/data/datasets/__init__.py,sha256=w6nfIPWoQNrf9dn1fVK9WQGm2eHtZOw2HOKSACbWNlk,1080
transformers/data/datasets/glue.py,sha256=dzzTJXN2sYjKGDB3KOAVY--s310LJG8oI-Ba_ipc9aw,6230
transformers/data/datasets/language_modeling.py,sha256=xB1_XL1gZZdaC7QyH4pyfaHdOompRn6S_QMEZwR53dk,22824
transformers/data/datasets/squad.py,sha256=gYrVZPNUGEOySDORn6erqx6IcZiZ0AUnLJKBOw0vtF8,9138
transformers/data/metrics/__init__.py,sha256=ao7ttt7CLyQWph--YH8D62pRM5fnAzKkZ7W8KSIwL6Y,3714
transformers/data/metrics/squad_metrics.py,sha256=8yYlrXkf1neUb3antufJd-XCcmsIppILO4EbUF8dHYc,29699
transformers/data/processors/__init__.py,sha256=4AxJWnnlohFY0fgJ3f24tP3lQ4t4Z5ks9WypFH7F9Fk,1185
transformers/data/processors/glue.py,sha256=UEVQt_obdjClwpLIeOVJYTR9T-s86mVLsHC0ZntbqUM,23368
transformers/data/processors/squad.py,sha256=EGxnCgb3OHV3wqpmC_Dl3kxPEVAWlDXtjtpylvc9js0,33279
transformers/data/processors/utils.py,sha256=50f71P3CItuiJ9OrIOA1J76qX-fIZuEB_g9qQpCG2Cg,13911
transformers/data/processors/xnli.py,sha256=quAg2Y42fJSjn2Pil34QDJJqZo6yu7HpwiqsBo4bA34,3318
transformers/models/__init__.py,sha256=9v7uuyUg7GjUceb8iWZD-z66BD19VsloXFWAKnA6aLA,1427
transformers/models/albert/__init__.py,sha256=JC2h7KSScS6MzCyxK0ULRNbogXfyzwV3-X3cF68n3yw,3924
transformers/models/albert/configuration_albert.py,sha256=wDDsBKhfiO1SfV5HHia5BQwjlSfZIrHYYZc30Liu3E0,8244
transformers/models/albert/convert_albert_original_tf_checkpoint_to_pytorch.py,sha256=xh2oY3pSQHsXDXPL8xDu7SOM7SOxV24mXNXSMIJR1ag,2176
transformers/models/albert/modeling_albert.py,sha256=Iwo0lzAQLHy043eGBOwu5Y0MWtvxSaBtWxfQet9a5Ik,54309
transformers/models/albert/modeling_tf_albert.py,sha256=SlKOyEMVWo3CLuZK8WkFy8nK14YZu0juS4XlJQ1NRIM,62725
transformers/models/albert/tokenization_albert.py,sha256=0AlqPGOV7jkDVOKRC9FA1e-7RGia_GILL9f-9E8El7o,13372
transformers/models/albert/tokenization_albert_fast.py,sha256=LW78WIqKa5VIvSQrgx0knIs4XgDB9Qer7Xuu259Gz7A,12045
transformers/models/auto/__init__.py,sha256=hEfhEe5EzsBH61F4kD6pGTEGbM9W8WIO_T-ye0-KTkM,6194
transformers/models/auto/configuration_auto.py,sha256=J4dNdyr1WRPIVIOf8OvHZM4HWfOAi0oVBwEvlUP1usE,18337
transformers/models/auto/modeling_auto.py,sha256=hhj2gDAmIUW2EJG-RrT9U5clwFsSU2DFy9kLQC2OnHQ,81025
transformers/models/auto/modeling_flax_auto.py,sha256=v4kKJEfzOJavh-cE8h8FQs7vO18yj_MN-8eGnExLKtU,8260
transformers/models/auto/modeling_tf_auto.py,sha256=s55Bd0vcWEbrEgpZPDV0KR4IH_EjkuF6TXjyD-h_AnI,72462
transformers/models/auto/tokenization_auto.py,sha256=DXRt_gpoh_0J6mxLSw81q_Z8Kp7m03UixtZIyIHhQc8,19218
transformers/models/bart/__init__.py,sha256=zBTGDtumkPv-99CtthvgOhHNdncW-MFwC4D0n8Jw2HI,2873
transformers/models/bart/configuration_bart.py,sha256=xdOxT93SqmxNSu01qfu9kyR5JFbkhKqWfoPN6ZBADKg,8675
transformers/models/bart/convert_bart_original_pytorch_checkpoint_to_pytorch.py,sha256=wo3Tw-Z8CsoLNPSjDbik5yTGVau0kRsTjBrW-bTU8mI,5498
transformers/models/bart/modeling_bart.py,sha256=WW2HzY9RHEKTm2TSATXCyhmGOGiFDPey-2REMDgn_xI,65705
transformers/models/bart/modeling_tf_bart.py,sha256=qLQa7S0OfKY7BrKpRcU-ayfjZolLDPtyMSUAkJQ9uK0,59812
transformers/models/bart/tokenization_bart.py,sha256=GVY4Qiy4Zyv72dN5VB0KOwTjE1Tj3sMzax0Hqc4htGQ,1943
transformers/models/bart/tokenization_bart_fast.py,sha256=U8uXn5v7hriX3S4hp7jZ0P_dRXmihQHzClsznOpn_4I,1811
transformers/models/barthez/__init__.py,sha256=QAJYIV7l04Tx32FxVpnamRbjvyapbudt6KgMHcQHYFs,1888
transformers/models/barthez/tokenization_barthez.py,sha256=ZZmzDwbbQGr9HonZWKsto7T5tidC0OdF280wV_oWo6g,11213
transformers/models/barthez/tokenization_barthez_fast.py,sha256=Gr-e1jBfbhsVnqxzlpuGLUmQyO5nPfvwhDNynHrezJo,10159
transformers/models/bert/__init__.py,sha256=Hod01A016KYY05mCSp9EaWH4s_cASeEA0z8Wm-4460k,4386
transformers/models/bert/configuration_bert.py,sha256=gu3LFoF3rvc_EtXp2ooCu-W5T1oun42NfrW-cmdP0HY,9678
transformers/models/bert/convert_bert_original_tf2_checkpoint_to_pytorch.py,sha256=AvpIXNCv1rCiYA5c45c56aXscTxlPCCkHJQjnv3N_Bc,10271
transformers/models/bert/convert_bert_original_tf_checkpoint_to_pytorch.py,sha256=2pKh1BsXA8rfYgEk910CT1gxzLN3cd2V6J9kAJDaas0,2152
transformers/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py,sha256=Smt7c6Lu6gSvfbFrfM_QtDt_5RX7pN3Hl6e5hH-oa8o,4119
transformers/models/bert/modeling_bert.py,sha256=aQLUnd6tQOjK1_A1it3_9mimgfR3WelOWpd7p6dYHxo,76184
transformers/models/bert/modeling_flax_bert.py,sha256=24mjOk19B3Y-NMeYBRb13L-dGD5Qq_k4eZH31eJhYso,27657
transformers/models/bert/modeling_tf_bert.py,sha256=z5RDqJuH5lF5tzcZ1D_6FAox3QbVtwnFRAgNcAeK7ro,74380
transformers/models/bert/tokenization_bert.py,sha256=OF4Ugz4AlTtIjLd3nrt3lEHn_a4VElGVJKVyoTVB9gA,24816
transformers/models/bert/tokenization_bert_fast.py,sha256=QtsDooQnhv_1g9RN0oVmgXTlA_ecKifjJOtFBk8pczQ,14394
transformers/models/bert_generation/__init__.py,sha256=pkrjdHVbdTp6zHwvX9lc_5-SYyBmTse63mXLwY7-EDk,2237
transformers/models/bert_generation/configuration_bert_generation.py,sha256=QurVdo80hLC3Z4saVEjvTbfrNC4iNi6RDML8_Nss6BM,6324
transformers/models/bert_generation/modeling_bert_generation.py,sha256=omegeU9c9CIazGQKjeyaJbpCQ1srSZh9YeBziwn0taw,27348
transformers/models/bert_generation/tokenization_bert_generation.py,sha256=4RI9anR89ylweytW9W-4xJsK1sCjWZ-ySc2PJa0FAss,5171
transformers/models/bert_japanese/__init__.py,sha256=siscF9xaPrRJdRRzUvMWX4pJKZ98JFiGYjq-px-IO4Q,1627
transformers/models/bert_japanese/tokenization_bert_japanese.py,sha256=QqPtqn_khdronhPKov67zoW72dsDrYitndBdIo8HTK0,13229
transformers/models/bertweet/__init__.py,sha256=KONNsoP4IpAvQmPEgNXlLXcH1Imiarn87K7zlWPxgB0,1533
transformers/models/bertweet/tokenization_bertweet.py,sha256=ZSaPEUz7Tp4edBgqHoclEKJ0aMfWwK0PztYTJP8DeBc,27626
transformers/models/blenderbot/__init__.py,sha256=zwX-UYx7vGh8HwvpPBuCyHwSH9fqYs7NZvW7wusLD1Q,2536
transformers/models/blenderbot/configuration_blenderbot.py,sha256=DwlsEzMhQKtcBJ7Eu_72SWqC_BB8zyZKaSZPzfDX32Y,8175
transformers/models/blenderbot/convert_blenderbot_original_pytorch_checkpoint_to_pytorch.py,sha256=bqHKTaU9P7BUedAtCHYeT_NaFxg4EpkEDgzNWX23Jcs,3678
transformers/models/blenderbot/modeling_blenderbot.py,sha256=QzTjcsh-I-ydpeXKrnKk3op3XybxCFynBB78Z1zvyCw,57741
transformers/models/blenderbot/modeling_tf_blenderbot.py,sha256=9g7uSc0vrqXUxOvfMiPSrXjNbZvhWoLvOqwHisPX0xs,62301
transformers/models/blenderbot/tokenization_blenderbot.py,sha256=_LS07h9-oUju3-suQ5osJ2t4obfO9mFPrRdB43pYewE,3255
transformers/models/blenderbot_small/__init__.py,sha256=1Qzk19sN1w4qIsJ58YmiUUjp08pdn_srTPKxcnlN0ow,2682
transformers/models/blenderbot_small/configuration_blenderbot_small.py,sha256=_2kOXKb2nLIPE76SipRFoh64VmVbxsq17pVb8LWS8yg,8298
transformers/models/blenderbot_small/modeling_blenderbot_small.py,sha256=HEjBGu01j0gw6qN1S7UVNoNyoppsOJsHDfT1CeGWGA8,56657
transformers/models/blenderbot_small/modeling_tf_blenderbot_small.py,sha256=HmkCs6p3eM5uy0s5VdkHC4LXp5M2_RiKmBkBVC9g2Rs,61320
transformers/models/blenderbot_small/tokenization_blenderbot_small.py,sha256=zhUbOSr7VvAreYHs3vEjfz6wYVaQIOFfH54EDVmgRAA,8698
transformers/models/blenderbot_small/tokenization_blenderbot_small_fast.py,sha256=WbcdJ022rDT7ATOb6rsu7BJgmKcmEy8l2MVPw1DFL9o,3468
transformers/models/camembert/__init__.py,sha256=X9X9BE28DRdt74IRccUrETgtgVHhoVSrL06_Yoni4xI,3716
transformers/models/camembert/configuration_camembert.py,sha256=lxDxh3c6h8jpiCLHOmqupFvxGL7Ej35j4iXBvUgRMss,1499
transformers/models/camembert/modeling_camembert.py,sha256=MC24--K-qW-h2axQwIgVuoY0dXmM__8RZFV-0Ew60_A,5734
transformers/models/camembert/modeling_tf_camembert.py,sha256=6ho5nuIm0L9WyYfXKTbhjd-2gEJyVFwr-X_U3bnwQAg,6327
transformers/models/camembert/tokenization_camembert.py,sha256=KhYv-wKN8ZTre5DOgLfpZKeDWFCjHlRWtP8DMIVYfJ4,11847
transformers/models/camembert/tokenization_camembert_fast.py,sha256=5NvcbPTJKG1Ln1cIgwnTQ1qllCF9OIxAx2ti7FjLG1A,10203
transformers/models/ctrl/__init__.py,sha256=H-3bhWHsedCr2ewx8bLDsjJb1BTmr6sUfZhPwqXbkS8,2727
transformers/models/ctrl/configuration_ctrl.py,sha256=OQ-uZbfb-efDW_4F7oxKoL2ZFBMQfnN2fvWBJlmoXKA,5824
transformers/models/ctrl/modeling_ctrl.py,sha256=GggHMFjHYMdYvWjaDBWI8tbo_RphOHst4fyFUyUKV-w,28200
transformers/models/ctrl/modeling_tf_ctrl.py,sha256=aFIdIyTz6NmYLCN0xDcVI-mpDEBJtg4aTsR-eIwbwco,37835
transformers/models/ctrl/tokenization_ctrl.py,sha256=GFPl6NNipwys4H8sHvF9TzGRV4Syuk9KKcfVb2ztBi8,8524
transformers/models/deberta/__init__.py,sha256=DtHNAhwRbAihDp3bwbDxNcUs2MdS9g_yrSuhC4IVZRk,2198
transformers/models/deberta/configuration_deberta.py,sha256=91D6K6TSGUJSteQ9ZWqNl_fPLBNawCpvFfNgCdOXCbE,7172
transformers/models/deberta/modeling_deberta.py,sha256=xYVAQELIhG6AtKE507BGU4zERp3f8GtHpfXR3NOAGl4,41872
transformers/models/deberta/tokenization_deberta.py,sha256=Qq668du8fO-kumph3yC2UydK2EZvqHTPUEHkeM9hKU8,24338
transformers/models/dialogpt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/models/dialogpt/convert_dialogpt_original_pytorch_checkpoint_to_pytorch.py,sha256=7yVhPLmBPKPzH8DjJC76cc7b8LgMGF2ldBmYjxXBMRE,1542
transformers/models/distilbert/__init__.py,sha256=ix4MkBSeuTfGMHHZ8NS_Oxb-j7yeISvM1khlGwsgJcw,3772
transformers/models/distilbert/configuration_distilbert.py,sha256=MYoSUWPJtc8oMevDyArMNFaqMLmfMrfwEg7FfdtpzuE,6724
transformers/models/distilbert/modeling_distilbert.py,sha256=JM1uA2sVU7T1al-_-ZpC12EMPH9SiFMgDkrB5_Nq1ZI,38426
transformers/models/distilbert/modeling_tf_distilbert.py,sha256=VMb1ejqRrvNrTQpRu9As0fSK0djBObtaPQ1Gf4weK6I,50650
transformers/models/distilbert/tokenization_distilbert.py,sha256=fzdtqsteIc35GYQ_H4Wgy7BDIdkkhmLHtyaGumzrvQI,2962
transformers/models/distilbert/tokenization_distilbert_fast.py,sha256=36QAs56G8Yew3_jqTgCa1T-h3lvy_yd3oxT7dkOv23I,3923
transformers/models/dpr/__init__.py,sha256=oquCbBLvZCn9JYGBAn2rpbk1Vnsn2tnWuQMsRbl5iPs,4239
transformers/models/dpr/configuration_dpr.py,sha256=MRADjsuWRpGZYTKiSTIFnBVSmrVJK-08Ma_RQ5_6OpM,6939
transformers/models/dpr/convert_dpr_original_checkpoint_to_pytorch.py,sha256=mvY66MdNebdiNPGodkbGFPLc54Qhd0UM0liO9h0sP48,6068
transformers/models/dpr/modeling_dpr.py,sha256=_QVGq8OG8McAGagvxTqa1Gh2neg-WdEnyVft_4j688I,28455
transformers/models/dpr/modeling_tf_dpr.py,sha256=4ZJnCavimUpXKD7cCFPdcqmhTWpv_IwY-BNZuolZn_M,36887
transformers/models/dpr/tokenization_dpr.py,sha256=ySKbK1uFcZaubcL8l1SDscsArnJWjl6Gbxe7ZiCrWTA,19737
transformers/models/dpr/tokenization_dpr_fast.py,sha256=rnQTaOJ8-7aJakds6HALl6R8MmEseaDFMTikGxq1omI,20219
transformers/models/electra/__init__.py,sha256=Xm2WQu9CvUKvfiXQo6ohi6PAFGTW9i1MEHyHEkRiEnc,3772
transformers/models/electra/configuration_electra.py,sha256=76U1cLSNqzsvCjddyw85NzZxm2uOvJTMr_7NoJ86AI0,9202
transformers/models/electra/convert_electra_original_tf_checkpoint_to_pytorch.py,sha256=sPjSj6kIOnrNPFMPizpBalPjqmzAMffMHirWtXQG_Dk,2866
transformers/models/electra/modeling_electra.py,sha256=6toUBFLDyN2aQDICPCx3iaWy4z61OkHm6AJSMYYPH-0,59366
transformers/models/electra/modeling_tf_electra.py,sha256=93-xg5FfoXCCkbFqvKwE-Jgt0bXTpNWz20bgCO6zKPY,62847
transformers/models/electra/tokenization_electra.py,sha256=rb3nAbMxmJyq-cb44Ca-rCCeXPeIjSd3jO0WFZsK83g,2932
transformers/models/electra/tokenization_electra_fast.py,sha256=ophZMO96tYRDSwLutR-o5TULc0k8FWMF0k5EZVx99Co,3958
transformers/models/encoder_decoder/__init__.py,sha256=eMAT9HUkLhOzbWHqQ7_cWpD44xcpS2TYP1qaT9gJzi4,1773
transformers/models/encoder_decoder/configuration_encoder_decoder.py,sha256=4p5_bAUE0Et_mbmPr2aDjJ3KTFum68DZ04fIyubvSlE,5040
transformers/models/encoder_decoder/modeling_encoder_decoder.py,sha256=qVgGDMCVvWaFSfWPNzDXlaUGQlMuy5ZMkVIs1jIyM2c,24838
transformers/models/flaubert/__init__.py,sha256=72tTkmgcC9OhJaPUsuH8LN4yHL0zHjVPYDNk7N5zUaU,3337
transformers/models/flaubert/configuration_flaubert.py,sha256=NC4Z-6_1POjLFq56ZraXbsugMF6gg_Mk614X6ER8CSQ,8932
transformers/models/flaubert/modeling_flaubert.py,sha256=1UWyWYMBHqyCQ7FjIjjxzjUwjMo8XXL1G9ieFOFCVSE,17516
transformers/models/flaubert/modeling_tf_flaubert.py,sha256=-uhbITqmgiQh2S2wO1ZdQ2F4LqD_MzYbGTtHvv8crQU,39450
transformers/models/flaubert/tokenization_flaubert.py,sha256=6niE2PVXklA60KBPlT9Cv2CUGoqpoK5aphS820lElgw,5636
transformers/models/fsmt/__init__.py,sha256=785nb6OiwCE3q_1FwLDOu3TNu7kL-mokL1EYLGzU9p0,1962
transformers/models/fsmt/configuration_fsmt.py,sha256=Epwpn7jrYc-LqyYoB8zqoBhFFkE3bLrQz94V4tae-14,10027
transformers/models/fsmt/convert_fsmt_original_pytorch_checkpoint_to_pytorch.py,sha256=xikg9hr6z7zI00DcyrG2Pw4xW7GwZ1xUVdmZyyMmXgc,11257
transformers/models/fsmt/modeling_fsmt.py,sha256=0QogaklHFANy7IgckeZXoJS6ZKqn2pS11HS-Wgvj1yA,49174
transformers/models/fsmt/tokenization_fsmt.py,sha256=AXIwkDSQVnfDUdJ0q26FxOzEa7mffSU3D7BVcGIDMQs,19736
transformers/models/funnel/__init__.py,sha256=FUTTsvjLIfVt_rH428cqP3p-oA0IckxDU0Bc3Sx_5gU,3752
transformers/models/funnel/configuration_funnel.py,sha256=9IfjsdHuM7BfYqV5KNV3e7O1aiAMkpJ_OvZ7QPywRJk,9492
transformers/models/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py,sha256=i4oFf7Vv9SMeRwuUq7eCUHX343-9V7WrDx0dIqWuDAk,2141
transformers/models/funnel/modeling_funnel.py,sha256=zKWycIJp2H_qS2TbykOCKmNA0nHHv8czjXun3BXBQhE,65866
transformers/models/funnel/modeling_tf_funnel.py,sha256=9V-4pPRmwp194LAzBCzaF1TuG4sGQzteSihCux8TwH8,79516
transformers/models/funnel/tokenization_funnel.py,sha256=Bm5zf8wblvVBkBAsXoQBrkrm-w1A115cqpB5f7xC4_w,5374
transformers/models/funnel/tokenization_funnel_fast.py,sha256=GpBbQuHQ7cEmXCglZkT2nG5b4uHvoRecUHftCQt0ZNI,6922
transformers/models/gpt2/__init__.py,sha256=1mIGRbWme1-Gk8uaMemV7RpLedBNfY0TJQEalGj7l3I,3216
transformers/models/gpt2/configuration_gpt2.py,sha256=qhXYVbzy32WYEuWrb1GjBaU6allLAfqU6e8MLJJQlzA,9073
transformers/models/gpt2/convert_gpt2_original_tf_checkpoint_to_pytorch.py,sha256=tru0StdZ4YoiU-T7mmcVdKw3EeYoeRszsBVd7uZhYOY,2555
transformers/models/gpt2/modeling_gpt2.py,sha256=-VdLyN7l_ApNBu2dxZhlBPmc2EJha-zwvlKVeA_H8t4,52452
transformers/models/gpt2/modeling_tf_gpt2.py,sha256=xOq4xBtP2TxBb4cWGm2Mqs7MLv949U1ePo4M5CIMVB8,45518
transformers/models/gpt2/tokenization_gpt2.py,sha256=NH437k5DE6vQQMR_YPGcpFN_VWbTBujpjDUe2pFD7Gg,11867
transformers/models/gpt2/tokenization_gpt2_fast.py,sha256=uLh0DHNJ7NeEhnmrReVOiFymxL3PWA5a15SSn0AXZoU,7536
transformers/models/herbert/__init__.py,sha256=nHVx4tddQHqZhmd38nF6nZIOgnLR9c9_wmWSnBAMPOQ,1766
transformers/models/herbert/tokenization_herbert.py,sha256=eG4Q1z5Rp-SF5_nhki_WZDkkprNUF6aXxTfs445q34k,2912
transformers/models/herbert/tokenization_herbert_fast.py,sha256=yH09hmDtlxBmtAjtgtRfGKhE5e6ap2PWyX6oLwcDifM,6370
transformers/models/layoutlm/__init__.py,sha256=ZCWhyW6ESbHK8E_chmEFHK1mVTI46eijZS19fWrZLF4,2537
transformers/models/layoutlm/configuration_layoutlm.py,sha256=8wyEXlhMbjtFSj22Um_alHP2s8jp4DLtR-hJhQ6xQUw,6160
transformers/models/layoutlm/modeling_layoutlm.py,sha256=031tH2fDpNoreov3hyDKHAyKRj0O7CmyM8I87NiiR-4,50298
transformers/models/layoutlm/tokenization_layoutlm.py,sha256=ss1tqwBAq5UNg7UN1tZeuM-wN4EZ-thUPhq2kFGmRwg,2060
transformers/models/layoutlm/tokenization_layoutlm_fast.py,sha256=59glzQ-9n9RjiQH43kPZQBrdPqEr2RTbJ9RKLOPTnEw,2494
transformers/models/led/__init__.py,sha256=MFIaaMjWv-My1kbfzhtKOtv8v_GvzTIS5_0ZpvS6Eik,2774
transformers/models/led/configuration_led.py,sha256=68helyVz8SbpwRRsU5htER8jv1M1yYmjS1fGnKwDqf0,8324
transformers/models/led/modeling_led.py,sha256=Xbf_bzFT86zV3m-NVfciwFe0pIHiFz3L2fbRdYrKAKM,123446
transformers/models/led/modeling_tf_led.py,sha256=LH_yNWdg44gw1KMeSfwz2-A29ejx4yTNp71GzKObGXc,108000
transformers/models/led/tokenization_led.py,sha256=ZVYzi7oCyeUICFvJs7EjiEOTq0uN7ZAX75hul7UKj7E,1864
transformers/models/led/tokenization_led_fast.py,sha256=S9p6bPl0oCT98TKS1-1adPuR3Kar_LqHZSIFnCISiTE,2031
transformers/models/longformer/__init__.py,sha256=1hj75t9UZXoZla5b9ZyKi-y0NSFYSRWuvvJd4MQBllc,3696
transformers/models/longformer/configuration_longformer.py,sha256=asSz5AgG4nXLd3kUKRqW9WQm8kEGeoDLAuqAagCePNo,3557
transformers/models/longformer/convert_longformer_original_pytorch_lightning_to_pytorch.py,sha256=i6vAwCNly7vxVdMDf3cmLMvFv3DnyOba8Jnxtee0L5Q,3020
transformers/models/longformer/modeling_longformer.py,sha256=SSMIfs_3TFCzjhxtVI3hwDhuUm76le6-HFrD7mZBPXc,106637
transformers/models/longformer/modeling_tf_longformer.py,sha256=5N1d4I-sZwRHiOBChM0VoJ0p-3N2SMOnLubtL7qSqwc,123508
transformers/models/longformer/tokenization_longformer.py,sha256=XJ2PTJ4fdncLqQ18Uv4HlzQUeLAhMwnEo_f2rx1sl4U,2133
transformers/models/longformer/tokenization_longformer_fast.py,sha256=LOif-JAUe5Sw7p9RmO7-Gz5o2riYg8ZH3Ywsa1sI_kI,2477
transformers/models/lxmert/__init__.py,sha256=QVekEZjI55p-sngPFvLnWGE9LI79eiGrdjyX21kjsBQ,3162
transformers/models/lxmert/configuration_lxmert.py,sha256=ugu5VWArVC3h_-OokPb3pJIAzri5HiYcTNSQSyT5Th8,9843
transformers/models/lxmert/convert_lxmert_original_tf_checkpoint_to_pytorch.py,sha256=bwPMYlWAgTNEUkNIjT2g8eprmKtW4aLJ8nXIC2eSnSk,2141
transformers/models/lxmert/modeling_lxmert.py,sha256=BzNy1bLEmKt-UqdE7w-O-d-aRoRAmn_nHlUuX0l8Gfc,64260
transformers/models/lxmert/modeling_tf_lxmert.py,sha256=En-s6CmzvOm5cGUNJBieM9Quq-1m6H8aAd8fk-8mUt4,66236
transformers/models/lxmert/tokenization_lxmert.py,sha256=G4J5g5aNKPy97PmulEw5VTIKTISVlTnqBYUpVh5LO-o,2592
transformers/models/lxmert/tokenization_lxmert_fast.py,sha256=Et20iRG857pogGm5nDloX_RvPwue0u64gEInhk3ZZAs,2944
transformers/models/marian/__init__.py,sha256=hWobV-hrxfFwMC6cfLMpas641n2qfahpcVBQyB7_4Wk,2535
transformers/models/marian/configuration_marian.py,sha256=Dsf1qBi7P6y9Bk7Mi9EWCqTL4u7VtnbWAGAatS24JYw,8083
transformers/models/marian/convert_marian_tatoeba_to_pytorch.py,sha256=Qq7SMe7zVkUSMzAchyYqUNfSovsbGsf2E37r6Sx69tM,33875
transformers/models/marian/convert_marian_to_pytorch.py,sha256=9P80h63obgP-6zsBkIXu8NZsOAYuBWUT9s4PpLRbBz8,23458
transformers/models/marian/modeling_marian.py,sha256=-9BOfCE8q9UVZWMrb2R4ZuwWKpP3OGEzO9u5L9xPwZY,56445
transformers/models/marian/modeling_tf_marian.py,sha256=M0pUUJP1zd2bExCcuojKK18z8Lh4q1MXYrpW8aXiGy8,61639
transformers/models/marian/tokenization_marian.py,sha256=AnSiCT9AG1Vu-eU7oEjbUhgwk7yMUUoSfWcC_S0FAwk,10960
transformers/models/mbart/__init__.py,sha256=LtRIpfTG3sYRZzOExDO8ye4Wb_dCxje5TVSHMyNbRdc,2943
transformers/models/mbart/configuration_mbart.py,sha256=z7ofhlNJphi05U-eWBvA2HA3Db76Kj278Gv8vABSmIw,8028
transformers/models/mbart/convert_mbart_original_checkpoint_to_pytorch.py,sha256=MXoqagsF91mTHwuaY4gZkZpUQleajQFqQrwPvgOd1WQ,2119
transformers/models/mbart/modeling_mbart.py,sha256=Bf3QSBZbOvh-MfB1jlA3JfG4zu2qIo5QRdZgUg64rTM,66941
transformers/models/mbart/modeling_tf_mbart.py,sha256=ByzO69mtnoXYR8fkdPM6MTD_79H57VdojeQvBTlSVyo,61341
transformers/models/mbart/tokenization_mbart.py,sha256=3vDKcGxOA7l8i0vp3-ZB3Jds9teqYU8-KALPqxouk8U,8601
transformers/models/mbart/tokenization_mbart_fast.py,sha256=AxtEQz4XO1WF7ZH3-RwTFiDrpsa-o_X06Id-RtWnu5M,9507
transformers/models/mmbt/__init__.py,sha256=ZjYgn2-d3YZK-KlhxSKqXPnMpB4fJyhKwLixR8vd0ZE,1773
transformers/models/mmbt/configuration_mmbt.py,sha256=2XO4AtN7FORz_C4DFB5jcey3ej8Ne--nBLILTt_FlAk,1654
transformers/models/mmbt/modeling_mmbt.py,sha256=Pa1sT_vF6EEiZ4hc7qJC58S5h8VsprjOa_E5_3zQlX8,19251
transformers/models/mobilebert/__init__.py,sha256=omLH_or6Atz11MvPUCT0FOwZ7qRYZlbhH6cx8ZVroYw,4260
transformers/models/mobilebert/configuration_mobilebert.py,sha256=9S8PazcjFWLGS1EwhoaLYI5aw6LpZCdlwoGAdZBot20,7804
transformers/models/mobilebert/convert_mobilebert_original_tf_checkpoint_to_pytorch.py,sha256=OHastrGZ4LLA0rCVs_LzOL-gXLFdoBJlkPQZjUSdk4M,2193
transformers/models/mobilebert/modeling_mobilebert.py,sha256=IoGKXI0yFv0pZf6BfsqtvWX0E-8yObEn9CRyTQeMVLc,64629
transformers/models/mobilebert/modeling_tf_mobilebert.py,sha256=cNCRKI7yKQiZXHBukcuGffvvvoEGA87OAiQfjTugCoQ,76881
transformers/models/mobilebert/tokenization_mobilebert.py,sha256=x1j_FozyvSuL6M25gOBVi0mapuqN-do7jdHPgfg84Qw,1729
transformers/models/mobilebert/tokenization_mobilebert_fast.py,sha256=w_PmDTnuGZuOT6wo0R0Kuyc-3gYT4FbZYlMGPsfyCE4,2094
transformers/models/mpnet/__init__.py,sha256=dWmbvTSzlZmK1mnBtWaPfXPKAEZtqnooV8C08nymFR0,3662
transformers/models/mpnet/configuration_mpnet.py,sha256=Z37GxUh0QYaJ5D2xbyTJk9iMMpzkuQBACWGyBQ-mBSE,5659
transformers/models/mpnet/modeling_mpnet.py,sha256=WU-8I8XKkHDTzvd_-buJcpFfPRnAu7sozASSdnLIF50,41294
transformers/models/mpnet/modeling_tf_mpnet.py,sha256=KP4K0fCNvt4OeqCoqauNuCljdRpmFrWbqYiGPE-cO-I,58221
transformers/models/mpnet/tokenization_mpnet.py,sha256=fimRnDvnR1ceXKDoctDgXH8RZaWWM_7w4MCxzMg8W3Y,22482
transformers/models/mpnet/tokenization_mpnet_fast.py,sha256=xaZ0eKrRdudJAqE3aAFA143FjjZrdrkkGQBP5PJNP0I,8999
transformers/models/mt5/__init__.py,sha256=sPFItQzkM3YAoSHnVCPbpamugVck7Yt3KcfSoS3z618,2917
transformers/models/mt5/configuration_mt5.py,sha256=twL0M7bIlINZYaxrjuCJb7J4i_ubyJzuhEUkopvlFXU,5594
transformers/models/mt5/modeling_mt5.py,sha256=xKXcKVMzEcIUMNp932vaeH3KKpX0Uewj3WThiNa9jz0,4085
transformers/models/mt5/modeling_tf_mt5.py,sha256=Nt7BFIMUJl4louoYSYaDM4Fh797uqJH6GbmPWBKJvuE,3484
transformers/models/openai/__init__.py,sha256=xxFFNtJXVZEh2G-nu4tyqCTWoqLEHAJO02V-kEK75To,3424
transformers/models/openai/configuration_openai.py,sha256=O3IMC-CClGaDXuiMUu2VlngEnrG1RsrgoI1gIkeIj4s,8395
transformers/models/openai/convert_openai_original_tf_checkpoint_to_pytorch.py,sha256=7CyR8Bq4mLCnbBD5QSJA4G7ZmlQ7_iSnKHAvGyDNEu8,2689
transformers/models/openai/modeling_openai.py,sha256=DUfsiP6NKAnFRnCWNLrw_OiIGdGAO85wMxS70uFuZxE,35629
transformers/models/openai/modeling_tf_openai.py,sha256=vDgZgpPu_2jJr0MpQbkWfGjGyvS7uhVQy_zChbnUM00,41308
transformers/models/openai/tokenization_openai.py,sha256=EUx6y_1_y_mNwkNXXB8C02FaWMD5u7vRlUMTEeLawZQ,8516
transformers/models/openai/tokenization_openai_fast.py,sha256=xIyOO0N5G5aDcGgYW86z3vn2nZVeG4S17ssEtCwKDEw,3062
transformers/models/pegasus/__init__.py,sha256=lo0p007qroRlvNDwkDylUAZlC7Lf9XpmRh-Ou_ULd7w,2841
transformers/models/pegasus/configuration_pegasus.py,sha256=07p9QTa5prLZZkjSwHf6WyHxRwGXYIDz1W2-EuACD7U,8039
transformers/models/pegasus/convert_pegasus_tf_to_pytorch.py,sha256=LgO0UB7YBsgZdJYPylRrLbUnRf8k3eRDKaw0JA8Glp8,5362
transformers/models/pegasus/modeling_pegasus.py,sha256=2rz-4__vET_iw2eqYs1X5wQ86d2Yb2H5mtU0EXdp5h4,56495
transformers/models/pegasus/modeling_tf_pegasus.py,sha256=26s-3SuhQQeBgcfICm1Ubb98jherNEAPtYzzTckl7X8,62175
transformers/models/pegasus/tokenization_pegasus.py,sha256=IKIR_kY9GwwTVOElzfZ-587ZEtcfcmwEmCb7Cos_7C0,11865
transformers/models/pegasus/tokenization_pegasus_fast.py,sha256=Hq0Di0HGO3bwz_sFCoo_fx57Ima3gFinjo4BNx9yrP8,9461
transformers/models/phobert/__init__.py,sha256=X1wBbxoDFU7MRXcXH0YLwBqkxNVky7mtwCUloFhrSoQ,1529
transformers/models/phobert/tokenization_phobert.py,sha256=v2JvmO7iz0Jp2GcEPjcihus0bRLUEtn7ZaFZGWdF-Wc,13951
transformers/models/prophetnet/__init__.py,sha256=HQ98zD3U-DxXBp5KljPgzgkvObw2ky7qg6aEMQMHdc4,2444
transformers/models/prophetnet/configuration_prophetnet.py,sha256=7rojJKhc6D2qptbacDv_Sv3ODpvAQ6nFpPpfD6Pzfvs,8314
transformers/models/prophetnet/convert_prophetnet_original_pytorch_checkpoint_to_pytorch.py,sha256=h4OYBvs3KxQbjXA4K-RqKAbuSE3iYlUKHKirQjU64ZU,7089
transformers/models/prophetnet/modeling_prophetnet.py,sha256=5Zt6Zd66bKfu9AqSMMIbgXzF34PLpezGQN5tEAv8Rq4,103723
transformers/models/prophetnet/tokenization_prophetnet.py,sha256=O0CdH0wr6GCR_XDsEQss7z-kImsrSlQIgNSMYFEJrWw,12745
transformers/models/rag/__init__.py,sha256=xSGAndBeUEHIhec-_zikeg8VMLTxYSpV1ClZPNTOKRk,1955
transformers/models/rag/configuration_rag.py,sha256=wlbudnpMvfbOiuomrhN2C9-iDXhWiQAcXOhIZ3X-IQU,8858
transformers/models/rag/modeling_rag.py,sha256=-YRSqLFCl8V4z-E_hRRDXH_rOTlXby15T-jLxvT4z38,83992
transformers/models/rag/retrieval_rag.py,sha256=o0ox-HyM2I2cAdxflpj96z94AIkeQMZuwOWWVHJIvM8,27817
transformers/models/rag/tokenization_rag.py,sha256=QDu5Pz9ny_LbTgVQhOwHGoSCk1pl82ytYwsovc07Q8s,3146
transformers/models/reformer/__init__.py,sha256=KE1xHuEifimIX0H6R5GDiPZCcohG4_7Ub0nfXDx3FJ4,2840
transformers/models/reformer/configuration_reformer.py,sha256=4aUVL9ayzYHd5GKBhukAzNDJ-2OEkjBsTg3c76eqcEg,13516
transformers/models/reformer/convert_reformer_trax_checkpoint_to_pytorch.py,sha256=9C1mWIyovCV9EYO0p_4O9lFMmih2semjrVnKJv2kCB0,7830
transformers/models/reformer/modeling_reformer.py,sha256=wMDD3Q9B1vF_Ef-zaarVgYozlksnZ8SjMmGWv080Vwg,110000
transformers/models/reformer/tokenization_reformer.py,sha256=RfF8hHsGsohoVwHyUO4Waxpv089FSTwJU8EskepKhgM,6052
transformers/models/reformer/tokenization_reformer_fast.py,sha256=t2Ifw2tpR4yvs1Rqz52Ap3-lVbWZXrvEzA0yXP9raa8,5131
transformers/models/retribert/__init__.py,sha256=JLeIIpc-591ZC0-4cKIP0vqEyv0NEmq5aU-2BJD1aeY,2389
transformers/models/retribert/configuration_retribert.py,sha256=W_myqgj6wt7Mfjyp2lh3sAKZKySDTHb5cyv2mC7eLHI,5357
transformers/models/retribert/modeling_retribert.py,sha256=FN6FPtW7YwpVvMX6Vy_0m2qhmwV78q_WZZKSo5nxyow,9253
transformers/models/retribert/tokenization_retribert.py,sha256=ygiZImtQMhhKqgrJXAKC-n7YeDrgnFX29lfAs0Yzn_0,1857
transformers/models/retribert/tokenization_retribert_fast.py,sha256=N8OtUfBVyktI9GlmmRKHo0wexunHh3l1LyvIRvlypIA,2223
transformers/models/roberta/__init__.py,sha256=J6DJ1IjADbTzt_1c9WIfX4qwMuqhN9R7nFtaEi-fKxg,3836
transformers/models/roberta/configuration_roberta.py,sha256=RWUgOQMgAv5XrnGK61xvIYe1rNmItb9QZqNN7k5kn7s,2872
transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py,sha256=MmHtq9AhcXXd-V8Fz0XWC8n-PL-S1MSdFhTCVM6Cksk,8002
transformers/models/roberta/modeling_flax_roberta.py,sha256=Lmv5LMGB-tvOswqDaN50uZRFvZuncBZ7S9h5bOHMkqQ,24315
transformers/models/roberta/modeling_roberta.py,sha256=eBTRWAXA8MFj1ZAfQTNf6qe6Qlfl2AVce0RaP11h7aE,63784
transformers/models/roberta/modeling_tf_roberta.py,sha256=LxZeYFQRdtAkOBwkpbw4BvEGounB9X-Smjxmp7oFzDE,59145
transformers/models/roberta/tokenization_roberta.py,sha256=19u9Ofh1gcxf2gp8fke_570qJoOw2yil_BuGqmW3FxA,12143
transformers/models/roberta/tokenization_roberta_fast.py,sha256=8g8D6NkKAOPTnmq6Gv02DlUtJ6M_QWbX_8e0pR88yic,10796
transformers/models/squeezebert/__init__.py,sha256=dko2Q29D19xlxvdymGVBdhqr6NaSBzLO1MHppwh13RA,2923
transformers/models/squeezebert/configuration_squeezebert.py,sha256=M4M57OqBRwIe_Y71ecT9hUKrz9CO-bxiB_yFDcErBKE,7210
transformers/models/squeezebert/modeling_squeezebert.py,sha256=Hk211ncoI3n-EeblsKwnEDdSdex8MlRqZIVh6U0Jovw,43285
transformers/models/squeezebert/tokenization_squeezebert.py,sha256=-sWtxf57A52qlfS7XwIfewRppAr8OftrxfV0xEs8UsM,2337
transformers/models/squeezebert/tokenization_squeezebert_fast.py,sha256=JXQVbkOSiaEgFtMvaWLG6M2cVL22y85crB4sTNGt6E8,2989
transformers/models/t5/__init__.py,sha256=fhZlCvuPxHgjM8ncVu7oKA0VAHO1_HD0gd8CUtLWMiU,3092
transformers/models/t5/configuration_t5.py,sha256=yh-S-bK9ij2uzGEHTsopiwKUZQTcz6nYIBB0r-s3sQs,5806
transformers/models/t5/convert_t5_original_tf_checkpoint_to_pytorch.py,sha256=p9hddjUbqV4lcz1K6mlF4v1capc_nUgfE76TeeMt2M8,2128
transformers/models/t5/modeling_t5.py,sha256=DBcVeKZ74fmDDHTPnQc71pFLNhyAUGvdkJTZ68NeJyY,75211
transformers/models/t5/modeling_tf_t5.py,sha256=the-8j1TWJbjU-gJn1Z4uliR7X-T7gd4UUOtCtl8_KU,71102
transformers/models/t5/tokenization_t5.py,sha256=UuADlhRixQfopLFbSXcpaA5EyRS-nME4Id6tpjdWBRo,12578
transformers/models/t5/tokenization_t5_fast.py,sha256=XMAVFIl6Z3qa52N4iOSA4YV3FweBwD8WtXXwwb98Drk,9158
transformers/models/tapas/__init__.py,sha256=6IOisH3HPGBK5OlBWWyQHcQdkQbm_1gIzlvcflbiutA,2226
transformers/models/tapas/configuration_tapas.py,sha256=ovPtzJgLjW4ppDSDvcocRVGmiXv9XoizwtdbKY9T2w8,13459
transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py,sha256=Ip8oxCoVKF50E36O-9jsY6PWHR8tykliuYJfesHNK6g,5122
transformers/models/tapas/modeling_tapas.py,sha256=MXqdORChfVpD63A1VxN3Ass2DxYaQ855AwNzeqHRdZE,106695
transformers/models/tapas/tokenization_tapas.py,sha256=8xqW2Z2LrKTwrRNooswRtLIWzBwN9gLB0l-FH4K_WDg,119543
transformers/models/transfo_xl/__init__.py,sha256=9pzZzcgxZtUVL27XAsri4HunJ3F7_rzSLXwYcqRnnt8,3221
transformers/models/transfo_xl/configuration_transfo_xl.py,sha256=2bODKg3NEjwIXbjMiZ22SrsFKINOBR_C2-K9_G07ENs,8128
transformers/models/transfo_xl/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py,sha256=cHFICIFVSsECf2KX5FTB6TEA19r8CQRuKWCaYiWL9sY,4977
transformers/models/transfo_xl/modeling_tf_transfo_xl.py,sha256=W3anOqQnKsg8jBKsOk4WsE3Jz3CLvGc0uQ7z0XJUsVY,47516
transformers/models/transfo_xl/modeling_tf_transfo_xl_utilities.py,sha256=_MssOwcthWfUnRNMBr_7ZXknqJsd3dpKjRwW0QPyXU8,7821
transformers/models/transfo_xl/modeling_transfo_xl.py,sha256=QiiVQfC0cEW5-Nr8i2RX12dqNpJuA2P_OSyQbgjR7ZM,52965
transformers/models/transfo_xl/modeling_transfo_xl_utilities.py,sha256=rPjQ5unnB3LbOLcZ0D16xQ4Y2nJw1udLGNLVKgjx25I,10607
transformers/models/transfo_xl/tokenization_transfo_xl.py,sha256=YNrroDp-P8Cv7YSiJTlLhnLQgClgsmgAQG3PrR8FpfM,30924
transformers/models/xlm/__init__.py,sha256=5IsWHOuJy4mGDO2Ht6wHj_B7cFU6Rd-n_ry2qQ1L25A,3299
transformers/models/xlm/configuration_xlm.py,sha256=PQghZwWIoZHY_1Zpb-372ex47yjXiMbU_VrlyXX-7yM,11891
transformers/models/xlm/convert_xlm_original_pytorch_checkpoint_to_pytorch.py,sha256=lhu0hDQVJp1S0nyVx74PE2pSNCyrq5NQYFU2r1h0S0s,3005
transformers/models/xlm/modeling_tf_xlm.py,sha256=Umr3u8nOlIsUw10lis13X72KQydpRPwrticKIjM5EhI,57663
transformers/models/xlm/modeling_xlm.py,sha256=Md4haNvHk1KRzUmv-9v9wx8U6ukevUw0MeUlXl6HpHc,52166
transformers/models/xlm/tokenization_xlm.py,sha256=npVG4Opti77HJn40Y_COrWUGtfygQjsU21u02OnXIoU,34754
transformers/models/xlm_prophetnet/__init__.py,sha256=6L2lF2laIfmnFUQgjiqWlX6Z2NINTURmFYVw2M5FJaI,1360
transformers/models/xlm_prophetnet/configuration_xlm_prophetnet.py,sha256=p2_MrOWHYRk9EoKvhunKbGlrJhReI67IzWbXkqmcG0s,1262
transformers/models/xlm_prophetnet/modeling_xlm_prophetnet.py,sha256=NuHvNMLA48Dp16WvauAWdRatIOO3e2BcY0AxUze7Vqk,7309
transformers/models/xlm_prophetnet/tokenization_xlm_prophetnet.py,sha256=Zz7HaU-bQlYOOPnFKbzrtCOcxJaL_J8lssQ8zVHNOHE,12738
transformers/models/xlm_roberta/__init__.py,sha256=9iDrlH_59dKoLkwyEWFCS1O-PD6YHrXz93xvRPfaFXs,3780
transformers/models/xlm_roberta/configuration_xlm_roberta.py,sha256=LVbsEgwq_l2DfE7Ug-aT0YSj6Jn8p35YB23YNcwiNes,1928
transformers/models/xlm_roberta/modeling_tf_xlm_roberta.py,sha256=jYZyJRO_SxqQyvs9oLZY0sdvaBlFFlQatPO_sanhmHo,6353
transformers/models/xlm_roberta/modeling_xlm_roberta.py,sha256=qURTcMrDr7VyG4hsQu0TojmZXtVJj29Z1fWIczQc_pw,5877
transformers/models/xlm_roberta/tokenization_xlm_roberta.py,sha256=atL9xWMyVY-iuvTMpKOd5xa6dLtw6MzwTCUV5mweUuA,12709
transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py,sha256=qTZuAs0lylF8FYoz6Lq7H9MU2bzkQhsSs_xqalPMMEk,11374
transformers/models/xlnet/__init__.py,sha256=4sklNzlhpLVTyPR-ran6DJF0XyGz35hcXJdDyiZE8PU,3834
transformers/models/xlnet/configuration_xlnet.py,sha256=lgX39bUkziVb4TcTvPKxSz2o2V0oHTfitfC3XErmSGc,11248
transformers/models/xlnet/convert_xlnet_original_tf_checkpoint_to_pytorch.py,sha256=3GqP87qtGjLfj_Htra7Q1UEf0dW1tEs63F58EOHcVjQ,3724
transformers/models/xlnet/modeling_tf_xlnet.py,sha256=pICZHLl_Dkhof7J7kLaD8mHlv9-3Q4v516ic0GK1RgA,81122
transformers/models/xlnet/modeling_xlnet.py,sha256=2NhqbCTEQBTmrnSKfKgLWRO-Pk2rjHklIs2m1dvKkQU,90126
transformers/models/xlnet/tokenization_xlnet.py,sha256=hH_p5bgzuT6-iFf7WMBcNJ9Y_JSkWs5GimVolKd-pdE,13223
transformers/models/xlnet/tokenization_xlnet_fast.py,sha256=WWEimM66w_EKUNKa82nULhf0a9U3D20hOK0XA0FaphE,11212
transformers/pipelines/__init__.py,sha256=cs7hn0C7mdeqWIiTt5VDMMvbT9PlBhYyT3Y04q3jY8Y,19326
transformers/pipelines/base.py,sha256=OhU4f-QsYPsjDc9B3rCzdkrEMO9xsFGE2VGOGmyk2a8,23006
transformers/pipelines/conversational.py,sha256=YXF30kxDyiJic0am7K0UGOLz6F-LEHu09uEM7eJi0vM,17335
transformers/pipelines/feature_extraction.py,sha256=y0R5TPrUc_A5tbl-5f1eSUDLt6JIotTof0kTIRpBHLA,3684
transformers/pipelines/fill_mask.py,sha256=9qhFym6Xe9OaBryR3DVlJmR5MAS1RlAB_YRzIyA1f38,8002
transformers/pipelines/question_answering.py,sha256=FmboHBUHkkI7Aa0WkSlqRStzvU6KSTOVegmB_8ju1a8,23982
transformers/pipelines/table_question_answering.py,sha256=CrB1Mn7k8RjAAuiojBw_HQ07do9Z_cMkuT_q5KhucAk,13772
transformers/pipelines/text2text_generation.py,sha256=QUyd4fLMM-2pL83snQSQZTkr7b5fVf0PtKww0nTR5jY,12203
transformers/pipelines/text_classification.py,sha256=LwWE0GL5BWrOv10aquipEXCuY56q9LRBz4aC52uVqFo,3194
transformers/pipelines/text_generation.py,sha256=LTn7fuE0P-Do6-NCwulCuaBci6_iD1ROyFXJVCUa3HU,8329
transformers/pipelines/token_classification.py,sha256=knOGep7oCGJZCenYT5hF7h1wguV_Iuj1Kn3s26Z_U3M,12183
transformers/pipelines/zero_shot_classification.py,sha256=MHFsH_bAjUnRyBr7SWtdvmXn-8qXKPj6bOlk63v2vXs,8087
transformers/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
transformers/utils/dummy_flax_objects.py,sha256=nHr7NJPHdM6hQqvMhTYRGk9gwaWUswRU50RFEh1sPck,1088
transformers/utils/dummy_pt_objects.py,sha256=7ByIqOl_dOauI5boyEtHwcBL7umENPJnHgyJNgIQidc,52291
transformers/utils/dummy_sentencepiece_objects.py,sha256=FtqCgE29qjCOxr7moFCGp4nINeHxo1uKIkQ6oCLP7Z0,2819
transformers/utils/dummy_tf_objects.py,sha256=hRnVw6gV3_e0JuYpPMhq_SpBoZ2c21gwmiEvUbKOJDo,34417
transformers/utils/dummy_tokenizers_objects.py,sha256=QfYTvdwJirSwuMTg9Rru6n0y_HTkd1DbFZQy-GDQaHA,6623
transformers/utils/hp_naming.py,sha256=kTCCyv7RT8cQJ3rb_o7MLtO3yhN0bcG72ZzN2M2mcOw,4971
transformers/utils/logging.py,sha256=zrVra5zE3jRGeAKoSyNGcswfjjI8vTpKp7SK_bO3ECw,7087
transformers/utils/model_parallel_utils.py,sha256=seImhvNcDKwtWL6-G7wPBZOw5Q2m6ZPLZvzSePidV2Y,2186
transformers/utils/notebook.py,sha256=ZdtdE0Ess15MGZKi3BYFRKtKb6gPumpq5v-K9sjO8rw,14293
transformers/utils/sentencepiece_model_pb2.py,sha256=X9U2bJld-kTtVXLB_EVdSc3AVubf9_s1At9WXyA_JP8,39607
transformers/utils/versions.py,sha256=zBT_g9IJGiqKTBbE7Ht7AZ8m4hCy1zqf5fiwddyKqlo,3842
transformers-4.2.2.dist-info/LICENSE,sha256=d_1HEN757DwPYiWADgI18VpCWr1KiwNVkSf814JhIEk,11418
transformers-4.2.2.dist-info/METADATA,sha256=287KesWACpT-HDGyLc0jt2hmPPKkEWa8E-OI9IqeIq8,36022
transformers-4.2.2.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
transformers-4.2.2.dist-info/entry_points.txt,sha256=NC_VjQxHu59c5WStu_7imUSlBjuk86IvLxhEtlrO-2k,82
transformers-4.2.2.dist-info/top_level.txt,sha256=GLBaeTo_CSdhnHvbxQ0kzpEHdlLuA_33foIogaWxntI,13
transformers-4.2.2.dist-info/RECORD,,
