arabert/__init__.py,sha256=XoFiOtGSOCLbKqlLs4jqtwm-DFcxssjH0leVyRTygnQ,82
arabert/preprocess.py,sha256=065gwUGGp0-Pv21aiaJkMID_haBIkdpUY7uB1FriH84,28826
arabert/arabert/__init__.py,sha256=yerP0THEHZ-OLRzF-ODxf7fWdZAdLVkSUoSCOGDVAa8,614
arabert/arabert/create_classification_data.py,sha256=jBWNQwNs0OxTmpEGnj5SGII751bUs0NKcAIhu8WLvl0,7418
arabert/arabert/create_pretraining_data.py,sha256=FCMh1gPO5bSRxCoULNEBSVOc7aiDDb36uxBC71cJdtM,18390
arabert/arabert/extract_features.py,sha256=lM7hrGcK821wPha3XUQZ13O56yJ_pR52ES7v53jyj9s,15141
arabert/arabert/lamb_optimizer.py,sha256=q1u_4tGIvJl0P2t0gKLgy2S9-HKWQeFC2p4S_6sbDus,6105
arabert/arabert/modeling.py,sha256=Ltan7sEvYY_NoDIhH_kz3v77VCyTV_QoeC90f1ROuMo,39869
arabert/arabert/optimization.py,sha256=PZriPX9Eb48ZImdJkHnzQ9xMjkzwCdjxTo9djofFOGc,7951
arabert/arabert/run_classifier.py,sha256=3pv3KhdNha3JaIls--TwOgkzoD25-dC-mgJVHwFPNkE,37699
arabert/arabert/run_pretraining.py,sha256=4WOWbTwnnHJPSOQsG05l8krtcnasBXgsMYxs57qpOZs,21301
arabert/arabert/run_squad.py,sha256=pU8wBJYVAK2qrXT18w_qFkfiGkS_MvsKbw9cj9dpusU,52016
arabert/arabert/tokenization.py,sha256=llMYm1vbNgcCng62un7FDLZlgtG9q1EjQT1uIxVNaxk,13718
arabert/araelectra/__init__.py,sha256=eoZ6GfifbqhMLNzjlqRDVil-yyBkOmVN9ujSgJWNBlY,15
arabert/araelectra/build_openwebtext_pretraining_dataset.py,sha256=PCJRTecAkncwTktL77ONUHaUVpPMsorNXh9D2tksy_E,3778
arabert/araelectra/build_pretraining_dataset.py,sha256=QSi0c_Lqhrzxo7LJMIIIgSjtyyB2KHBNTP3ysiDKNog,8811
arabert/araelectra/build_pretraining_dataset_single_file.py,sha256=e9AlCLdF7ewQw5xYZ_IYCbbG296K8tw-ihF9uKYVEcI,3135
arabert/araelectra/configure_finetuning.py,sha256=fJ5NXVeb5E7YJ9LoW-uqyOTV_UOwd3gzkyioAqi0kdo,7596
arabert/araelectra/configure_pretraining.py,sha256=Cq5OZ7n85U8RC4iQbmZ1B_XW2xjRED-XjoZCzhzAPJI,5658
arabert/araelectra/flops_computation.py,sha256=nx449ONLVNt1Bn2PVa05vB-U2ptvdSfFgjKlV0YhcP8,9284
arabert/araelectra/run_finetuning.py,sha256=2LxaxD2N8-UWUN-ZPnsvXVTgcOYSt5ZabgD9Fe-8t28,12653
arabert/araelectra/run_pretraining.py,sha256=3Ppc3ZnHcxKFQud-Dz8gDrhvjH1h35BpUNPtynHYmR0,20196
arabert/araelectra/finetune/__init__.py,sha256=Wq0qr6DeLdR-rkGKkKoVrPxeQHr7kk6sg6vQNThW8wA,606
arabert/araelectra/finetune/feature_spec.py,sha256=B4NohPD7OGj3_LCJlW6nGnf5CDAxK_zlHeL97QhADPE,1832
arabert/araelectra/finetune/preprocessing.py,sha256=JNq2dS3VCBe9jva95BIhNLjr-lqSEtlMKfGwRJkskPY,6484
arabert/araelectra/finetune/scorer.py,sha256=I7NHGC7eTA06Px8prIP4fO5dHuoi_BhdAIj57RR8bYY,1517
arabert/araelectra/finetune/task.py,sha256=RNxVoxtyZV8AywuRSvmv33Kcs_1wdjk-r8Sl9kqxLXc,1917
arabert/araelectra/finetune/task_builder.py,sha256=QaSnEuSnYqwdwEcc2XFn6a2YGZA3qp_erql48e-dd2o,2698
arabert/araelectra/model/__init__.py,sha256=Wq0qr6DeLdR-rkGKkKoVrPxeQHr7kk6sg6vQNThW8wA,606
arabert/araelectra/model/modeling.py,sha256=QLslT_E3qtW0lJoOaikQhbvsjrFFo7ELAyHHEFP1Sz0,39848
arabert/araelectra/model/optimization.py,sha256=eH9EOC5g7K8BIDQyBSdlJbcbhZ8D7ZloVsGZ-rQPqsY,7061
arabert/araelectra/model/tokenization.py,sha256=qTcjfyYVUIorwk2VJTnWK3fd2xEctpceFDiNIdXV-xI,10727
arabert/araelectra/pretrain/__init__.py,sha256=Wq0qr6DeLdR-rkGKkKoVrPxeQHr7kk6sg6vQNThW8wA,606
arabert/araelectra/pretrain/pretrain_data.py,sha256=Kxp86fgtRq7F5QNKpY_7qhaVMFHwaoybHreKUDR6cdc,5253
arabert/araelectra/pretrain/pretrain_helpers.py,sha256=JrH6v8BU4AGY6iuWypeWf6M950rTGmzEIOXq0U63hpU,9026
arabert/araelectra/util/__init__.py,sha256=Wq0qr6DeLdR-rkGKkKoVrPxeQHr7kk6sg6vQNThW8wA,606
arabert/araelectra/util/training_utils.py,sha256=VIpxLACE9l6CTkkAAgOckWaGTIThWTi5XL-MdUG2cMQ,4030
arabert/araelectra/util/utils.py,sha256=yMPicJTRszExPZce3_RyGtyBStxbtL6OojsOXJBv1o4,2482
arabert/aragpt2/__init__.py,sha256=k3rtp2EA3Hv5dXHxwt2GrYb23WUNNLjVE7ggEebT59E,16
arabert/aragpt2/create_pretraining_data.py,sha256=-MXRbE_sqvUx6QaNpFsA0DWnYoqIo3UpDo_jW_fnZZU,3010
arabert/aragpt2/train_bpe_tokenizer.py,sha256=SDa5Cx5qlDjj_VXr2GESbIm31kqZL6q7u1kUdeGkDRc,1829
arabert/aragpt2/gpt2/__init__.py,sha256=k3rtp2EA3Hv5dXHxwt2GrYb23WUNNLjVE7ggEebT59E,16
arabert/aragpt2/gpt2/lamb_optimizer.py,sha256=q1u_4tGIvJl0P2t0gKLgy2S9-HKWQeFC2p4S_6sbDus,6105
arabert/aragpt2/gpt2/optimization.py,sha256=PkjD-M55fW1enj2hD-49qyCwnZR3xXQnQaXDcPnCPvY,8187
arabert/aragpt2/gpt2/run_pretraining.py,sha256=dAnLrzIVEgrtURt-d-vwdtJhFOzV6o5rooojIKMWj3c,12902
arabert/aragpt2/grover/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
arabert/aragpt2/grover/dataloader.py,sha256=UBXApvvFcQz32uU0dEgg1ldgHzuORNl1VDyCm9nMQDo,6692
arabert/aragpt2/grover/modeling.py,sha256=0zk747WQzGaVOIrh8LMGe1DCC9JhBGYakJpLN1-gPww,37477
arabert/aragpt2/grover/modeling_gpt2.py,sha256=m4UNvCXXr4I_YuE0ObH9SmYQseGjoo6xLMkLIoma8Hw,74891
arabert/aragpt2/grover/optimization_adafactor.py,sha256=rbw0P3nw_a9BH1TLjBrYq_7b9mXwfyPeZJfSuXpPYjI,9531
arabert/aragpt2/grover/train_tpu.py,sha256=beDx-ATVWiu2lOyv45_otC9nN3kRUPEetfAetiH9hYo,6915
arabert/aragpt2/grover/utils.py,sha256=bqVUIKJGwluVoO-Dpcp2-m45naGMoS6fnyCIEWV8eG0,8239
arabert-1.0.1.dist-info/METADATA,sha256=5C9f7g9kO2Uz7REK94Ey8xV0Akz-eKJF0g7b23AkhmU,16575
arabert-1.0.1.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
arabert-1.0.1.dist-info/top_level.txt,sha256=gtuHwnCnnl-E5_BwwCK0OT1enTbNSV4wsFPWH-q22ys,8
arabert-1.0.1.dist-info/RECORD,,
