bert_squeeze/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bert_squeeze/assistants/__init__.py,sha256=0CKlVLIz6Cd2Z2iKY2F6p4kBuNR2NIA_usgEFe0D_X4,90
bert_squeeze/assistants/configs/distil.yaml,sha256=Mw-kaCCMcLWpoRBF6FJHkb1RSEx1jWwFL7ZPQklm2Hg,1953
bert_squeeze/assistants/configs/distil_hard.yaml,sha256=sljqb6TfaBjcTcroqiyJevNOqJggs1awhPzdpg8aQCU,2251
bert_squeeze/assistants/configs/distil_parallel.yaml,sha256=sz-Bkq5pelxMipqzOT-Mos_1sS5iBFcrVwEYfyjDpf8,1767
bert_squeeze/assistants/configs/distil_soft.yaml,sha256=8tacjtrGYkK3NXzPGMrDJaYXPFut8BnUtj0zVDiTCNo,2094
bert_squeeze/assistants/configs/train_bert.yaml,sha256=eJW9Nr-VLWS2gghvJ0XT7A6lgYXiQN0xA3lxILwY1pM,978
bert_squeeze/assistants/configs/train_deebert.yaml,sha256=0mNX7AiVvajwx4LQ74qrsr-md5HBB0VAouZZbfQIM30,1061
bert_squeeze/assistants/configs/train_fastbert.yaml,sha256=I6jm5BI4xNgijU7w2Fo4hbDsflPNMC_Se1RynpHh-4Q,1085
bert_squeeze/assistants/configs/train_lr.yaml,sha256=qnWJV0EkPjkyCHvGkOrMyee0yaHZBZfrOz4yEB3MSQg,852
bert_squeeze/assistants/configs/train_lstm.yaml,sha256=ZYf1C3OwqGyO87FQ7YqfYboLASlI-z1nITtVdua_1R0,774
bert_squeeze/assistants/configs/train_theseus_bert.yaml,sha256=c9u4jYfo9UQm6zKVe2MQ1HBU69vlQs6u6MRzEMdM-jA,1084
bert_squeeze/assistants/distil_assistant.py,sha256=6EqzWekzD7TRkStSz1Y3ckZDhNqPJN1JaxiKhu7Jypo,7570
bert_squeeze/assistants/train_assistant.py,sha256=_u_MQozQlKBpoyZ8PL_3kb9AmTbhhNfRrNNWgbYOBAs,5756
bert_squeeze/data/__init__.py,sha256=8UVpJ8f-ZVOpd1Pq03fETQ5Qsslt-bVvDx7o02sImqU,145
bert_squeeze/data/local_datasets/__init__.py,sha256=cKSzGx-VAUJBxPUIHsXvG7ZVkaVr9y8fOPywWmqD4Ps,98
bert_squeeze/data/local_datasets/conference_dataset.py,sha256=I2o1n1CPfTS101iFHboR7Y3qVEW6_jFiytLFCiKqUec,2471
bert_squeeze/data/local_datasets/parallel_dataset.py,sha256=osw1Zv-Ypw1qsaKYy_b7Bux92pZtFDO_zIHAr4axil4,2647
bert_squeeze/data/local_datasets/unlabeled_dataset.py,sha256=ujZ92qJVj3T6xnznqio7MaPsIWT9r8w3MN4-U-EjgvI,1915
bert_squeeze/data/modules/__init__.py,sha256=qZR2b4jsGslTG8kMdjQ8OuA-1bxrMS89SEbbpU9gETg,186
bert_squeeze/data/modules/distillation_module.py,sha256=Csz71S5BbHyvcka47Q3V-TTqtT19HMm1_537bv3r84o,8869
bert_squeeze/data/modules/lr_module.py,sha256=bpu4310v6ZCPJNmvQv0oddp3C5JYtwp_EW7LQk_AOhU,4552
bert_squeeze/data/modules/lstm_module.py,sha256=XiYC92U95q6sXjFD-wn6szpiDJm2f6Zrx-M4vn5yphk,6397
bert_squeeze/data/modules/transformer_module.py,sha256=WpAg1izB92P_55AH_FpR3gSzYp79Bau2dguGb7NUMVM,6073
bert_squeeze/distillation/__init__.py,sha256=Jl00ZJSJClD4cwCosBcn3Ik9cMXGQPAy1ug_eo0A4MY,33
bert_squeeze/distillation/distiller.py,sha256=mgBo6lfWSftlz3mxbAI_NTPcVMc99Mmk_o01n2RTtqE,24364
bert_squeeze/distillation/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bert_squeeze/distillation/utils/labeler.py,sha256=VBE5cMQWrN8z5LiXY5L3NWehVa2spggLMpBwIEKTAM8,5418
bert_squeeze/inference/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bert_squeeze/inference/model.py,sha256=8EaT4_cyZysGETGIboK2kqJ22ysMETXO85r8eG10bK0,1960
bert_squeeze/inference/processors.py,sha256=pAxFY7pyP_Z5KruV0q3WYPeB4A4xp9OJqskqzeyq1jw,692
bert_squeeze/models/__init__.py,sha256=-rb0CGsEx9Ekhi6nFNeXabQ34Kj4CmGgqsHjcoQK_AY,256
bert_squeeze/models/base_lt_module.py,sha256=3XPSeaAaHToo6AoE2cYxIdsrl4aICIV57BmU69pI9EQ,13173
bert_squeeze/models/custom_transformers/__init__.py,sha256=C5W8ZgSADgP7SjwTOtZXPjQFrHSRRqavsDPiJKt6SBY,113
bert_squeeze/models/custom_transformers/bert.py,sha256=miblGQDXcKhVwBzp4pkIOhG_D09h-bg35PdaBCXibic,8111
bert_squeeze/models/custom_transformers/deebert.py,sha256=G0m8-w50RfzWfwa2X6ch8UHRYGLrsPro6GfngEk21LY,13283
bert_squeeze/models/custom_transformers/fastbert.py,sha256=xcohEycQauzRkir5ni5-ZwCDC-PLv75rYh-aXnkvaFM,8452
bert_squeeze/models/custom_transformers/theseus_bert.py,sha256=-HBO5tVDwHNb0VTZuvTRd5m4vs09hlDUIEsQrYAZOLw,13974
bert_squeeze/models/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bert_squeeze/models/layers/classifier.py,sha256=kvoGqtFt0yDZfSyLx97IomG4-o1axe7kmuRsB2UmobM,1387
bert_squeeze/models/layers/mha.py,sha256=j1KdWcYFc8nVlXt2dxk7JYmoHY4XCWvDfGgAEWt7uxk,1993
bert_squeeze/models/lr.py,sha256=Tm4OggoECf1B3Jk5UowYZ6X5_hklApFHUtA_OUMrgkU,7219
bert_squeeze/models/lstm.py,sha256=-p0I9H_3qQeF56CFjeEG-QMFELj35iCW8cnJvgm_7fs,8435
bert_squeeze/models/lt_bert.py,sha256=HkhSqoqB7Rb_FRbMkdRlX2bQTaHJ1OrZjK6jVnKpIz0,5422
bert_squeeze/models/lt_deebert.py,sha256=LPvJ8AFMrIKqNE0SmmDxQIeDjE0k9uQ4FIbYhzLjpms,14299
bert_squeeze/models/lt_distilbert.py,sha256=l8bpawkhZx-E9suiwVzNFXWWBXB39N1p56UcvkjMUyQ,4529
bert_squeeze/models/lt_fastbert.py,sha256=zlXPEg2qu9Wi-dng_47cXM85okZvPEIxMJrwW4bIjDw,11312
bert_squeeze/models/lt_theseus_bert.py,sha256=fwPXFUquf2ndhfQkneNYBZ0OT5Izn6J2yD05Iw3FnqI,6007
bert_squeeze/utils/__init__.py,sha256=Wi_2MXzi5qNuoMHeCutsqKhCLCzRd7GsF9jk29pfQlY,182
bert_squeeze/utils/artifacts/__init__.py,sha256=PAKcZxRQuPFNHl3iJaL1i0Ov3V8wR3nKE8whtMOJrbI,172
bert_squeeze/utils/artifacts/distillation_artifacts.py,sha256=lN4RVFPVxaG4dLnHDnSo85G08pIPtFVVKtJkrcX3ST8,2356
bert_squeeze/utils/artifacts/transformer_artifacts.py,sha256=Cx6e2VeGDri3dmYYhOs9ozx-wtDu9uOO_K65j2yRmjk,759
bert_squeeze/utils/callbacks/__init__.py,sha256=oKfql6lNtrVfBziq6I5UNIVLNNdD_-t4gw0kBWRgdQM,95
bert_squeeze/utils/callbacks/checkpointing.py,sha256=YrBpeRhEvHgjpmu-K88N2Bqd0fHsctGE708jAghmE28,1651
bert_squeeze/utils/callbacks/fastbert_logic.py,sha256=peDzwQ_2bftXtRCl308Q_IZbvvxrTBaJqBte1af4mCU,1527
bert_squeeze/utils/callbacks/lottery_ticket.py,sha256=MBrp_ij5qNt381vtlpmPzO1z77N8WKHez2nq0HZRaWU,14219
bert_squeeze/utils/callbacks/pruning.py,sha256=z52wtZYPcmgl-0IKB6l47w9g01rZrGm2294zMDpPKsQ,5984
bert_squeeze/utils/callbacks/quantization.py,sha256=PJKf9mu-mB8x-6o8aLmJmmVeXmNH6V5_LtZJlIKstbo,1420
bert_squeeze/utils/errors/__init__.py,sha256=FFZiTEVyTeAwR1lIMRodhuukMYGRebNhxFKtaYyzhBo,92
bert_squeeze/utils/errors/config_errors.py,sha256=k76NeTK6zwvuQ9BgpXcCC9i0OjJ6WjHEj5rxuOn-Jd8,167
bert_squeeze/utils/errors/deebert_errors.py,sha256=EGo4476-F12CaDP6yIN1j44FzEM7srGNdWQiuMPIkdI,418
bert_squeeze/utils/losses/__init__.py,sha256=ku6WrdT3fZjVo8JFxtr0IGsItPNWLJkXYQwMA7VTxbs,171
bert_squeeze/utils/losses/distillation_losses.py,sha256=vSonuIaihIzEmX5kHkvRbfeEajRZiwLlaHv-HdvGy8o,1226
bert_squeeze/utils/losses/losses.py,sha256=ncYbn2fAA1ZnZRk4WHvHJhe3v6hsj-eRogP1SYpyITw,1026
bert_squeeze/utils/losses/lsl.py,sha256=jk2IkL_WiSJ7Y46QkwTV2wPr-TNPnbzY0vtCOjEncVQ,1631
bert_squeeze/utils/losses/romebert_loss.py,sha256=d2WQ8VMX0yIOS8s-v3KgeuvL95VAxxz4tPUdXFnA494,3102
bert_squeeze/utils/optimizers/__init__.py,sha256=x2y9GMDQ_XwEcnWM1O1hikkCAcAUY7w_4uKVolOotuY,32
bert_squeeze/utils/optimizers/bert_adam.py,sha256=t8Iijcy9ELUVMiuXBl48wYvSumxrm1JMdyNmSfqUsq8,7979
bert_squeeze/utils/schedulers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bert_squeeze/utils/schedulers/theseus_schedulers.py,sha256=_xppq0JM6x72AwC1LxfWNWZfmN18IkKR-6kY-YKyoq4,3387
bert_squeeze/utils/scorers/__init__.py,sha256=CxdkNz4Y6UsQ_5ggQW_nXM41le0vkkdGSBWM_X7WJOM,80
bert_squeeze/utils/scorers/scorer.py,sha256=pg8mRAdScMWD0tfc3lsrpI3u6PU7lSD-euT_yi5tOMw,10543
bert_squeeze/utils/scorers/scorer_fast.py,sha256=959iAaxy98PfKGasTXV_l0Us2_1-HAMIqYFY0bh-BaI,6941
bert_squeeze/utils/types.py,sha256=JlUORMcS4alXp6rkqDJmHFPt_blaWAlGYnd1k1UF2Xc,1296
bert_squeeze/utils/utils_fct.py,sha256=15vkjtPJc8dxhAef5iJwv0pHBflVvl4pm2Zy3ph5gWw,3053
bert_squeeze/utils/vocabulary.py,sha256=XPhOE0-v-fkueHy65s1lM0mYdanWTn-Pl4qeMmx7-T0,2493
bert_squeeze-0.1.1.dist-info/METADATA,sha256=yAu4gBGmEJXxljRK90nNQeevA_VxW91uUj0XYMc0oqI,1239
bert_squeeze-0.1.1.dist-info/WHEEL,sha256=vVCvjcmxuUltf8cYhJ0sJMRDLr1XsPuxEId8YDzbyCY,88
bert_squeeze-0.1.1.dist-info/RECORD,,
