tf_transformers/__init__.py,sha256=IMjkMO3twhQzluVTo8Z6rE7Eg-9U79_LGKMcsWLKBkY,22
tf_transformers/activations/__init__.py,sha256=YVaGEqxd8hPB8_OBUS4T_ZQUOHcCtl7gZlfDa8a_x6o,919
tf_transformers/activations/gelu.py,sha256=3l_YWr3rCwYwmhPYiC_xIERA3OcSFjFimpu0hByInQE,1265
tf_transformers/activations/gelu_test.py,sha256=G71-8UPlYTqoJRi3MpYnLCbWZmAx7X3gI60Wj22jq74,1395
tf_transformers/activations/swish.py,sha256=xBFnqzKi6nWPXnQELY26AR0FpwBIBYR5NgSk-m2dOGk,2476
tf_transformers/activations/swish_test.py,sha256=AyVy9UyVR35nbwPtkUDJbxtKyP0zTbR1TLmdZx99ZnM,1769
tf_transformers/activations/utils.py,sha256=JY6k01zlLEhaJhfHBXmqgRa4lKPqHJJo-LG8lC-jvDM,1187
tf_transformers/core/__init__.py,sha256=6h7lpAbCIQSsFhgPXN3q_1XSpPDU7VMQ4vbOI8bFPDI,196
tf_transformers/core/adafactor_optimization.py,sha256=yMpi8RcPVuxyXG6CBDhvoSTewJLwqomZFPA21Z-A--4,26102
tf_transformers/core/legacy_compile.py,sha256=H1CDqShDM2elThnhwvq7qkNKVghz5uaFR1AxcH4JBAo,26657
tf_transformers/core/legacy_layer.py,sha256=qFs0zMqg4lHHt_fDy5RhyvW9mK3-IoslDng0Dw9Y2wo,17518
tf_transformers/core/legacy_model.py,sha256=VsiW8JIuXKoJYANRsbwq0YyDlb5G2S8uiSwkbzTuAhA,8611
tf_transformers/core/legacy_module.py,sha256=jJDnbmTbPvMpGmVlexn2Z0knSHaiF5BpfX2uTxrlb50,2224
tf_transformers/core/optimization.py,sha256=M7iOGsvIeUsolfZ3aOjwPWiQGZpsJkxxc6AuOb_BySE,9034
tf_transformers/core/trainer.py,sha256=YGTnLq3ZgVfpPUpVEUNRSbRKz10cc9n_3P3E6W0J7wA,2251
tf_transformers/data/__init__.py,sha256=ketB_tHblUXiElbbIyDiovjzTy1XjK-p9AmyEpBD_Ms,228
tf_transformers/data/squad_utils.py,sha256=NQky_wRfeRB_7fTcFfVc92HQNxgw8vzW4guFvinbRkw,15989
tf_transformers/data/tfprocessor_utils.py,sha256=-Cm4QMcOBChqUOxm3M2tUWXgMhKA8pAmcOYp3JTilZ8,2425
tf_transformers/data/tfrecord_utils.py,sha256=JHbq1L69TXBJZcOhEAxS6GI_zPNumV4pDXEmczxpbuM,18258
tf_transformers/data/utils.py,sha256=zT2VjWZsazJ3e9-uL4zOOgKqFoOpLPah39RrDetDB1I,2935
tf_transformers/layers/__init__.py,sha256=KgCWX1edWmYkz2OP7xMG7pEsrQOZ0diKxn119tzmyIE,996
tf_transformers/layers/attention/__init__.py,sha256=1TgZSKzTsX8x0_e85HJdTXIEHeIdK6jTzDZ5-egs5J4,223
tf_transformers/layers/attention/bert_attention.py,sha256=whO3k_B1xcE3ielF2ETmGICrmsto6GSYRlm3cT2lghs,13531
tf_transformers/layers/attention/gpt2_attention.py,sha256=mpCFwlKSsARpLN5MzU9e36c0-EwFjPL2DZA7LJoiIwk,13339
tf_transformers/layers/attention/t5_attention.py,sha256=12gkJCQRgyQMi2Av10XrAEdVgR9yLJ4B1RLi8rIAle8,21105
tf_transformers/layers/attention/t5_attention_new.py,sha256=i68kj8ZNXlYe4B97HsdbJOfWkn3jebm7OVFHtvszaNY,21500
tf_transformers/layers/dense_einsum.py,sha256=lQvJ9ALK2Ialmdz0uVnvCj8J9_fW959kmE4GwmDiwH0,7165
tf_transformers/layers/layer_normalization.py,sha256=hR2WNoxM6rrN7TTsZ1NwDYc752wQfdYUIZBycKUi4NA,4890
tf_transformers/layers/mask/__init__.py,sha256=U5zD9_3lQCGOWxL3UnTnrtmtMsGuJC_2hi0jk7zLozU,285
tf_transformers/layers/mask/causal_mask.py,sha256=_9zjtfIKQtH1fiC0Yg_hdb6SggW36BNKH2wrGc9D8Aw,2122
tf_transformers/layers/mask/cross_attention_mask.py,sha256=mcMqSv5GzXYNl-eJbEGgfG3WRlR94gcKMExrktnKFZI,2522
tf_transformers/layers/mask/masked_softmax.py,sha256=iip1n9Jhuh6LnyPct3EF2nGwi7Ef4DQ-PNZgQm-vmFs,2460
tf_transformers/layers/mask/prefix_mask.py,sha256=rewk1Bv18njnG5c5ii24wTNNEHU13hqowa-pIGK4fQM,2794
tf_transformers/layers/mask/self_attention_mask.py,sha256=18itlg3321hbvbq89ctMOt7Liwodxmw-gTmTacBGI3g,2335
tf_transformers/layers/mlm_layer.py,sha256=udfcJNjFKY2EiiJiysD5thuO4odXXGVl83YnIEgVhgE,1330
tf_transformers/layers/multihead_attention.py,sha256=MhAUiXskxBGosBjYLCIr8pDrbXO9jEjkY3HwLQ5lXiU,13242
tf_transformers/layers/on_device_embedding.py,sha256=5n4wU21mKmYFmmBQoyiPxqBEWzSWIODa-gWtp7P8aD4,3765
tf_transformers/layers/position_embedding.py,sha256=29frGN6IpWIbjaLiIe65CzzEB1KQVLsToA259NK131s,8231
tf_transformers/layers/transformer/__init__.py,sha256=nlKuyy7I9ggW3SIOK72qc3y5Anzjpya0TzYwS5Ze2HM,315
tf_transformers/layers/transformer/bert_transformer.py,sha256=fwhFKRVjbTf4rDAnJb_oUOPvMdEnmWYYRCBDQBXC7gI,23759
tf_transformers/layers/transformer/gpt2_transformer.py,sha256=ZQqTZGAAG3uiCtMbNpYz6CmP1d66kkkH1735AuGZ4A4,24031
tf_transformers/layers/transformer/mt5_transformer.py,sha256=5hkWGBPZjpHa-EodTQps5iaT087Me8AJAPP_VU3E8FQ,20861
tf_transformers/layers/transformer/t5_transformer.py,sha256=_MBYtov9_jscVvzlIEQOX8tHwvwCYfglYUojBCDDhDk,19781
tf_transformers/losses/__init__.py,sha256=THl-JiGjWLLWUqvgfEUUfBR3Q_hLGhJtB6lfEsBMoR4,138
tf_transformers/losses/cross_entropy.py,sha256=xuGqynVFlxcl0J2WxsKMn8-on4BzgkaNQZxle1IZv6M,2058
tf_transformers/models/__init__.py,sha256=sbzGcgV8otvwVzeTQ_si5kzEXorI-Yr6Hf5-W3qWMsE,1040
tf_transformers/models/albert.py,sha256=8fBJIaVpcrQC7WvjCTrfpcZQMQekdpvmucJjBRrurXc,52169
tf_transformers/models/bert.py,sha256=nZVt9mJrkzeE8uA-zbspUfeNWsQT5UQ08YcHpbcWp80,48423
tf_transformers/models/encoder_decoder.py,sha256=cvQt5aSEIjmeLB_PiPLZWNWOIbreE7Jm30cTJLpAJ2g,7592
tf_transformers/models/gpt2.py,sha256=c29W_Vcn6xhGEr_DkoCnP2quWtyoRjGQnGwyJLR-XUM,45537
tf_transformers/models/model_configs/__init__.py,sha256=aMNzIIo4NL147oop_UZRN5rTttIgGB8h1XCMLaApugg,505
tf_transformers/models/model_configs/albert/albert_base_v2.py,sha256=0QjTc2GcDRc22lqFafkaLHHxRyjR6UoHk3uakwvVIjg,481
tf_transformers/models/model_configs/albert/albert_large_v2.py,sha256=a2Dv4XgUDFlpp22BOEbcfcMgSNfkIughPV4ka9XlXjw,482
tf_transformers/models/model_configs/bert/bert_base_cased.py,sha256=ANlwoTlNkNcw9tg5b3a669SCJsBYW65rIO46WyjDGws,445
tf_transformers/models/model_configs/bert/bert_base_uncased.py,sha256=ckrd_aGNE_iCsbu-EYUosbQKTHIdH7Y7AtW2yGFftcY,445
tf_transformers/models/model_configs/bert/bert_large_cased.py,sha256=MGij4TUuuz7VWNz6e0rGJf6RqB_DLZSsrhnVlHN3loc,446
tf_transformers/models/model_configs/bert/bert_large_uncased.py,sha256=rjAwUW268f4KZ6mglBsfhPAUgEdrrIC0g4GOjrIFdEY,446
tf_transformers/models/model_configs/gpt2/gpt2.py,sha256=khnLPBmdVAMAsYSuKw2hSse3MYz_d0s0siZJWxx_P6s,472
tf_transformers/models/model_configs/gpt2/gpt2_medium.py,sha256=IJ0aEM4_UETzVsgOdoy8kB-n6QWrNSqS_ixg1kAZYR4,473
tf_transformers/models/model_configs/mt5/mt5_small.py,sha256=WaVxSnPVcCt6aC-bnzRENvMfkqdI2jfME3qD-6zG1LY,466
tf_transformers/models/model_configs/roberta/roberta_base.py,sha256=17c1poWhxUGzSGDjF5cAt29cjI5wskw8s7IbSpAnqMM,445
tf_transformers/models/model_configs/roberta/roberta_large.py,sha256=K99ATfcl2IwtiDUAc8fNYKGbPI8bi3whC2lo0zJc60o,446
tf_transformers/models/model_configs/t5/t5_base.py,sha256=ZAx7DhYX3-8e9sdvrk69_1ns5jKA5Cm6Ph5WLxJ5zhM,467
tf_transformers/models/model_configs/t5/t5_small.py,sha256=wsC7V4NmOB2HgdHJwpMV9B2Tf2f4Icao8QBMsfbw_7o,465
tf_transformers/models/model_configs/unilm_cnndm/config.json,sha256=F0S4q9skBYELwilq1loVyUL4Gfah0JMb_4ahEV3qBII,377
tf_transformers/models/model_wrappers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tf_transformers/models/model_wrappers/albert_wrapper.py,sha256=ibi9KQg7LY-ptGAWgGhAyGYi7vORs5iwj53n3wXanfc,1203
tf_transformers/models/model_wrappers/bert_wrapper.py,sha256=hgMUMRs2y4bC-SfpDltC2JXUOZXj3Wycc85qfHjx4M8,1240
tf_transformers/models/model_wrappers/encoder_decoder_wrapper.py,sha256=IkIMnh3bsp_DtkE5ZTKA7l1fV30nTsY52vcv-RqSK-g,5362
tf_transformers/models/model_wrappers/gpt2_wrapper.py,sha256=Le4e-RiM3bztTEeSRAHei7qiC-JPh7TlcApzjXg4dxk,1205
tf_transformers/models/model_wrappers/mt5_wrapper.py,sha256=-O_kRPCiRcsBAfvyiBfJrQ7UmY7k6iur5HbZF4xUxIo,3667
tf_transformers/models/model_wrappers/roberta_wrapper.py,sha256=78HEZcC-kezTsp-UZV1FeI9Y0U57Frf-N24kqP6-u-8,1203
tf_transformers/models/model_wrappers/t5_wrapper.py,sha256=GItt_sZ6NuBKs79xalSx0YbFWXobnagctRPqXDDtQ7I,3672
tf_transformers/models/mt5.py,sha256=2M4M3E7dIkBtv3MgNcCtMti6JzFDhEr_DldG0d7KfiY,21041
tf_transformers/models/roberta.py,sha256=PYcJNvhPxLwV7Nx-VYMu9CzmkWriFa-zUGOjqzyjBZU,48482
tf_transformers/models/t5.py,sha256=HP_h8TdKl2dnVivJ5m0KV_r_2Em5tI7HLNyr49ZSu70,20955
tf_transformers/models/unilm.py,sha256=ha1wegfghTB_pEfw_oIXNdaeNbPoc2zDMRmZ4i5dnbc,35474
tf_transformers/notebooks/.ipynb_checkpoints/albert_snips-checkpoint.ipynb,sha256=sOv94G2iaL6ggXvsRr99rymHdn2n2vf_uNz21NC64lU,140160
tf_transformers/notebooks/.ipynb_checkpoints/albert_snips_each_layer-checkpoint.ipynb,sha256=VmJrprC9i8zHyqIMHDtdGLGlCmxFHMH2MqMQCJdxj8U,139480
tf_transformers/notebooks/.ipynb_checkpoints/create_pretrain_data-checkpoint.ipynb,sha256=qFdZYtAeE9nKlQnF7I8TvLXUFT55GPf-HtWZpK0Hk6E,34717
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/1_convert_bert_from_huggingface-checkpoint.ipynb,sha256=YUApWl_4ksbSeIoImpHyRrWRMzeJ0s3Amy5Bqt688Eg,145562
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/1_convert_bert_from_tfhub-checkpoint.ipynb,sha256=qgT3uM6BVI860doW2KNTnl8nl_Wrun-flWfV9b68pcI,9769
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/2_convert_albert_from_huggingface-checkpoint.ipynb,sha256=JlPBOsiXiwqhwHBeUbKuAbj7pM-oPF68diJekeAf9qo,7315
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/3_convert_roberta_from_huggingface-checkpoint.ipynb,sha256=-7ekrYDm9qH9cHYJTPzGwIf5_AJpJTsGDm7fqJxgUgM,8131
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/4_convert_t5_from_huggingface-checkpoint.ipynb,sha256=pWv9q0XQZumyIyOYZlISpzsF-jDcRUMYsGffDE3LkcY,24701
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/4_convert_unilm-checkpoint.ipynb,sha256=od2aLtLXgTiNWGn_eTzNaz4bMYcbr-mmJBI_Xnr7-r0,16946
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/5_convert_gpt2_from_huggingface-checkpoint.ipynb,sha256=xqY66eP_Ua2T2R48EShmUL1ln8BpZqu0TFUFqviEq7A,7084
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/6_convert_mt5_from_huggingface-checkpoint.ipynb,sha256=E_NgZUNslbzaAzfbcwVmIoFoP1kBtdKKZ_7jwV0JeMY,21438
tf_transformers/notebooks/conversion_scripts/.ipynb_checkpoints/convert_gpt2-checkpoint.ipynb,sha256=oNTahiIMuormiAeppgkXzwr6saAsJy001A5F3CD9wYU,9698
tf_transformers/notebooks/conversion_scripts/1_convert_bert_from_huggingface.ipynb,sha256=YUApWl_4ksbSeIoImpHyRrWRMzeJ0s3Amy5Bqt688Eg,145562
tf_transformers/notebooks/conversion_scripts/1_convert_bert_from_tfhub.ipynb,sha256=ZkNToJ1BIzLBwrpK8qp_i35vUphLWlKUC3pS-P9_fo0,15466
tf_transformers/notebooks/conversion_scripts/2_convert_albert_from_huggingface.ipynb,sha256=JlPBOsiXiwqhwHBeUbKuAbj7pM-oPF68diJekeAf9qo,7315
tf_transformers/notebooks/conversion_scripts/3_convert_roberta_from_huggingface.ipynb,sha256=efWcFFmMz2mJ_BCkmAZjogwYmcUPcNSv8IKTXgO1YoI,12098
tf_transformers/notebooks/conversion_scripts/4_convert_t5_from_huggingface.ipynb,sha256=pWv9q0XQZumyIyOYZlISpzsF-jDcRUMYsGffDE3LkcY,24701
tf_transformers/notebooks/conversion_scripts/4_convert_unilm.ipynb,sha256=640uYAxzxhGTzHvB7M3vnaffeahYXFUsLpCtYbjR4dg,53940
tf_transformers/notebooks/conversion_scripts/5_convert_gpt2_from_huggingface.ipynb,sha256=3Io5gScNC0aUNf-erZ4Fen4ydNOJdz8gi9Y_uAuYYY4,7572
tf_transformers/notebooks/conversion_scripts/6_convert_mt5_from_huggingface.ipynb,sha256=pNPZx52k3HECT-vJBa53-UajWNkNBa9WRfnWtB8R6OE,35609
tf_transformers/notebooks/conversion_scripts/convert_gpt2.ipynb,sha256=vu2IXzBc6OYbxq-Pi08rgB8CDdazE95E69dX78pf9rY,9697
tf_transformers/notebooks/experimental/albert_snips.ipynb,sha256=sOv94G2iaL6ggXvsRr99rymHdn2n2vf_uNz21NC64lU,140160
tf_transformers/notebooks/experimental/albert_snips_each_layer.ipynb,sha256=VmJrprC9i8zHyqIMHDtdGLGlCmxFHMH2MqMQCJdxj8U,139480
tf_transformers/notebooks/experimental/create_pretrain_data.ipynb,sha256=qFdZYtAeE9nKlQnF7I8TvLXUFT55GPf-HtWZpK0Hk6E,34717
tf_transformers/notebooks/tensorflow_records/.ipynb_checkpoints/1_legacyai_tfwriter_tfreader-checkpoint.ipynb,sha256=3a-KgnxXw6iaVt1GCeB6Pu9RGBwMMCgW2CwzhyHaVUI,12098
tf_transformers/notebooks/tensorflow_records/.ipynb_checkpoints/2_legacyai_tfprocessor-checkpoint.ipynb,sha256=5ts_Cn9x4UTI7-YRz7nRPWYwdfDTV3PttNd0zH1BaeE,3492
tf_transformers/notebooks/tensorflow_records/1_legacyai_tfwriter_tfreader.ipynb,sha256=ech5Y0uzgd48QW2pRERjy-YqgV5NNp_sPZr5PZFUuao,12098
tf_transformers/notebooks/tensorflow_records/2_legacyai_tfprocessor.ipynb,sha256=5ts_Cn9x4UTI7-YRz7nRPWYwdfDTV3PttNd0zH1BaeE,3492
tf_transformers/notebooks/text_generation/.ipynb_checkpoints/1_load_and_save_gpt2-checkpoint.ipynb,sha256=_eRGABgMRv1yx_KDB_4hg6SsjJOap5O2nNIgf8UXxKQ,14528
tf_transformers/notebooks/text_generation/.ipynb_checkpoints/1_text_generation_bert_serializable_test-checkpoint.ipynb,sha256=5lVlJ5kvjFHQ7w-N2VETrFGxuCH1oHTr6AdydpH1ZMc,74473
tf_transformers/notebooks/text_generation/.ipynb_checkpoints/1_text_generation_gpt2-checkpoint.ipynb,sha256=Jg0qMzRzvxeMdUYVAlVmdKwAdHSG1oti969M5YlrwfY,11174
tf_transformers/notebooks/text_generation/.ipynb_checkpoints/1_text_generation_gpt2_serializable_test-checkpoint.ipynb,sha256=TEUEHXilB8lKN3ySQihLPsyWQFWz13Rl6vJk8xWnYYQ,20539
tf_transformers/notebooks/text_generation/.ipynb_checkpoints/test_t5_serializable-checkpoint.ipynb,sha256=zMwDvlC4MY2YAEciiBxxGIoIaO8tvs_iMaWPBo862xo,13877
tf_transformers/notebooks/text_generation/1_load_and_save_gpt2.ipynb,sha256=sO0yPeyiCOyWYdj1iBKUSYf67H20HF-5UbaWCabs4ZI,14534
tf_transformers/notebooks/text_generation/1_text_generation_gpt2.ipynb,sha256=Jg0qMzRzvxeMdUYVAlVmdKwAdHSG1oti969M5YlrwfY,11174
tf_transformers/notebooks/tutorials/.ipynb_checkpoints/1_snips_nlu_preprocess-checkpoint.ipynb,sha256=BxHhOUriMH1XXZnvlO9syOfIOL_8vr6s9_-ibEf0KjA,4095284
tf_transformers/notebooks/tutorials/.ipynb_checkpoints/albert_snips_each_layer-checkpoint.ipynb,sha256=hmGINNfRYxX-pZgQAu4WcnBU9iea5b6tB1jizT0BFz0,140395
tf_transformers/notebooks/tutorials/.ipynb_checkpoints/sqaud_albert_sp-checkpoint.ipynb,sha256=gBfStee2Dwh_n2JJv-Atem4jC02tfLuOMEgAH1yckKo,72
tf_transformers/notebooks/tutorials/.ipynb_checkpoints/squad_albert_fast-checkpoint.ipynb,sha256=xDVWj0tpoU8RDUi-tQEp0-jlnjDAli3uIiBJ0wqczCs,16742
tf_transformers/notebooks/tutorials/1_snips_nlu_preprocess.ipynb,sha256=ptGfdmKvkzCddZA42TjyXu2BJ5OZtDI2ZsKGmmiVZlY,100433
tf_transformers/notebooks/tutorials/albert_snips_each_layer.ipynb,sha256=cc-70c5aXYke-c_4b_PemQwHXFiGu_I0hf1fa-eXoGM,140395
tf_transformers/notebooks/tutorials/sqaud_albert_sp.ipynb,sha256=AMsQqjNvBJEnpZZuPIApLf6lE9eK9zqnS2fan1j-iCw,102702
tf_transformers/notebooks/tutorials/squad_albert_fast.ipynb,sha256=7kY8HaFc0MxyMV2zskwpLkSlyVwVGhBlmrotF6uRTEA,16804
tf_transformers/text/__init__.py,sha256=ht8GLD4aZ7evQ3LSMC-M-eM2Pk5YaWB8fmxJneK7v2Q,535
tf_transformers/text/decoder_utils.py,sha256=JBLrWJi6s7ylJRPh9LgGgCZenUc4t8tVVjuBre_obME,4143
tf_transformers/text/text_decoder.py,sha256=4RhlgdagwMsRysY_3VdVXS6SAOJATVIQ2ChhkiPBIIY,23503
tf_transformers/text/text_decoder_seq2seq.py,sha256=Rv_MMM_RaJGHfm9b6BzwPnDxWfHAFVbH1mXgt1yWu40,24621
tf_transformers/text/text_decoder_seq2seq_serializable.py,sha256=DP7T8qGhogdu48EFZQVAH3FrnAxBjWtl5Xur3U5E5VE,50624
tf_transformers/text/text_decoder_serializable.py,sha256=Otw72OB9k0exJacAJuP123j2nTfttuVSrCMUUBpKTCY,45083
tf_transformers/utils/__init__.py,sha256=XGX4e4WPtCviY9iH0XN9f0zJS4Di5LymH0FreET_Low,686
tf_transformers/utils/convert/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tf_transformers/utils/convert/convert_albert.py,sha256=tNgocUZvGu384hhi-9bCVvDrEikVdYf0eIIaWWdGiZ4,7381
tf_transformers/utils/convert/convert_bert.py,sha256=TNPtwLO6c_ZT06lOGIadIUcrqqVbR6LXT7pi0bUueYQ,6508
tf_transformers/utils/convert/convert_gpt2.py,sha256=wXyXg7WX1xzLmyPvbl4SQWHLGvMDcBnap2lHDkI1jOk,4005
tf_transformers/utils/convert/convert_mt5.py,sha256=TyikUC4GA8kehU7AzrhEd7zytoqw_h7NSV1ONeX20qA,9242
tf_transformers/utils/convert/convert_roberta.py,sha256=QM4cFwPX2uF3jJpHEZUcJD1PZxmmXrgbNssDT3-iVLE,6817
tf_transformers/utils/convert/convert_t5.py,sha256=QBv8vnjHyoAmnhAbMYKcoVFszJHNA2FFEKqyETHNCLQ,8865
tf_transformers/utils/fast_sp_alignment.py,sha256=GkjrQ7sLmS2vSmJXTukBOscblWxWaqtXt_Y4wW8UvSs,3704
tf_transformers/utils/positional_bias_utils.py,sha256=2uMokvwGmkIh9pJ5P9bSWM5Pa2IlpXelh5BhxXr_TbA,2509
tf_transformers/utils/tf_utils.py,sha256=bG1BO_fC-raYS3LioLwuXTofGUdrRqItENzH-ZFmUj0,5669
tf_transformers/utils/tokenization.py,sha256=bY2NrQGjP-N2cf5XFfofVPIH4olk77wOOLktDd8hkrY,16651
tf_transformers/utils/utils.py,sha256=_cVqcmFKgdWfHxRJLVs105u3WKzk_buyM23xDm-B0p8,1028
tf_transformers/utils/viz_utils.py,sha256=2zfefJpI8PtHuPVBIkkpvqVqzl2ZOSsr8JCg3KA6DX0,1262
tf_transformers-0.1.0.dist-info/WHEEL,sha256=SrtnPGVTMeYWttls9xnWA01eUhCZ3ufFdJUYb1J3r-U,83
tf_transformers-0.1.0.dist-info/METADATA,sha256=yMNviZXxcOkl4V8eawWQqHpBpWE3ddUuiuieT_nKHxI,572
tf_transformers-0.1.0.dist-info/RECORD,,
