Path	Lines of Code
subtitles/en/00_welcome-to-the-hugging-face-course.srt	352
subtitles/en/01_the-pipeline-function.srt	345
subtitles/en/02_the-carbon-footprint-of-transformers.srt	452
subtitles/en/03_what-is-transfer-learning.srt	306
subtitles/en/04_the-transformer-architecture.srt	216
subtitles/en/05_transformer-models-encoders.srt	352
subtitles/en/06_transformer-models-decoders.srt	308
subtitles/en/07_transformer-models-encoder-decoders.srt	479
subtitles/en/08_what-happens-inside-the-pipeline-function-(pytorch).srt	365
subtitles/en/09_what-happens-inside-the-pipeline-function-(tensorflow).srt	366
subtitles/en/10_instantiate-a-transformers-model-(pytorch).srt	240
subtitles/en/11_instantiate-a-transformers-model-(tensorflow).srt	246
subtitles/en/12_tokenizers-overview.srt	76
subtitles/en/13_word-based-tokenizers.srt	204
subtitles/en/14_character-based-tokenizers.srt	217
subtitles/en/15_subword-based-tokenizers.srt	251
subtitles/en/16_the-tokenization-pipeline.srt	263
subtitles/en/17_batching-inputs-together-(pytorch).srt	225
subtitles/en/18_batching-inputs-together-(tensorflow).srt	218
subtitles/en/19_hugging-face-datasets-overview-(pytorch).srt	266
subtitles/en/20_hugging-face-datasets-overview-(tensorflow).srt	249
subtitles/en/21_preprocessing-sentence-pairs-(pytorch).srt	229
subtitles/en/22_preprocessing-sentence-pairs-(tensorflow).srt	238
subtitles/en/23_what-is-dynamic-padding.srt	232
subtitles/en/24_the-trainer-api.srt	293
subtitles/en/25_keras-introduction.srt	226
subtitles/en/26_fine-tuning-with-tensorflow.srt	439
subtitles/en/27_learning-rate-scheduling-with-tensorflow.srt	361
subtitles/en/28_tensorflow-predictions-and-metrics.srt	356
subtitles/en/29_write-your-training-loop-in-pytorch.srt	412
subtitles/en/30_supercharge-your-pytorch-training-loop-with-accelerate.srt	248
subtitles/en/31_navigating-the-model-hub.srt	266
subtitles/en/32_managing-a-repo-on-the-model-hub.srt	580
subtitles/en/33_the-push-to-hub-api-(pytorch).srt	370
subtitles/en/34_the-push-to-hub-api-(tensorflow).srt	675
subtitles/en/35_loading-a-custom-dataset.srt	266
subtitles/en/36_slice-and-dice-a-dataset-🔪.srt	287
subtitles/en/37_datasets-+-dataframes-=-❤️.srt	219
subtitles/en/38_saving-and-reloading-a-dataset.srt	279
subtitles/en/39_memory-mapping-&-streaming.srt	287
subtitles/en/40_uploading-a-dataset-to-the-hub.srt	176
subtitles/en/41_text-embeddings-&-semantic-search.srt	287
subtitles/en/42_training-a-new-tokenizer.srt	399
subtitles/en/43_why-are-fast-tokenizers-called-fast.srt	131
subtitles/en/44_fast-tokenizer-superpowers.srt	260
subtitles/en/45_inside-the-token-classification-pipeline-(pytorch).srt	256
subtitles/en/46_inside-the-token-classification-pipeline-(tensorflow).srt	245
subtitles/en/47_inside-the-question-answering-pipeline-(pytorch).srt	266
subtitles/en/48_inside-the-question-answering-pipeline-(tensorflow).srt	276
subtitles/en/49_what-is-normalization.srt	321
subtitles/en/50_what-is-pre-tokenization.srt	149
subtitles/en/51_byte-pair-encoding-tokenization.srt	290
subtitles/en/52_wordpiece-tokenization.srt	226
subtitles/en/53_unigram-tokenization.srt	547
subtitles/en/54_building-a-new-tokenizer.srt	309
subtitles/en/55_data-processing-for-token-classification.srt	253
subtitles/en/56_data-processing-for-masked-language-modeling.srt	193
subtitles/en/57_what-is-perplexity.srt	178
subtitles/en/58_what-is-domain-adaptation.srt	144
subtitles/en/59_data-processing-for-translation.srt	192
subtitles/en/60_what-is-the-bleu-metric.srt	420
subtitles/en/61_data-processing-for-summarization.srt	172
subtitles/en/62_what-is-the-rouge-metric.srt	353
subtitles/en/63_data-processing-for-causal-language-modeling.srt	321
subtitles/en/64_using-a-custom-loss-function.srt	253
subtitles/en/65_data-processing-for-question-answering.srt	217
subtitles/en/66_the-post-processing-step-in-question-answering-(pytorch).srt	265
subtitles/en/67_the-post-processing-step-in-question-answering-(tensorflow).srt	255
subtitles/en/68_data-collators-a-tour.srt	508
subtitles/en/69_what-to-do-when-you-get-an-error.srt	208
subtitles/en/70_using-a-debugger-in-a-notebook.srt	247
subtitles/en/71_using-a-debugger-in-a-terminal.srt	272
subtitles/en/72_asking-for-help-on-the-forums.srt	268
subtitles/en/73_debugging-the-training-pipeline-(pytorch).srt	347
subtitles/en/74_debugging-the-training-pipeline-(tensorflow).srt	619
subtitles/en/75_writing-a-good-issue.srt	257
subtitles/en/tasks_00_🤗-tasks-token-classification.srt	92
subtitles/en/tasks_01_🤗-tasks-question-answering.srt	70
subtitles/en/tasks_02_🤗-tasks-causal-language-modeling.srt	51
subtitles/en/tasks_03_🤗-tasks-masked-language-modeling.srt	68
subtitles/en/tasks_04_🤗-tasks-summarization.srt	55
subtitles/en/tasks_05_🤗-tasks-translation.srt	76
subtitles/fr/00_welcome-to-the-hugging-face-course.srt	117
subtitles/fr/01_the-pipeline-function.srt	147
subtitles/fr/02_the-carbon-footprint-of-transformers.srt	387
subtitles/fr/03_what-is-transfer-learning.srt	88
subtitles/fr/04_the-transformer-architecture.srt	84
subtitles/fr/05_transformer-models-encoders.srt	135
subtitles/fr/06_transformer-models-decoders.srt	126
subtitles/fr/07_transformer-models-encoder-decoders.srt	192
subtitles/fr/08_what-happens-inside-the-pipeline-function-(pytorch).srt	147
subtitles/fr/09_what-happens-inside-the-pipeline-function-(tensorflow).srt	144
subtitles/fr/10_instantiate-a-transformers-model-(pytorch).srt	99
subtitles/fr/11_instantiate-a-transformers-model-(tensorflow).srt	117
subtitles/fr/12_tokenizers-overview.srt	24
subtitles/fr/13_word-based-tokenizers.srt	75
subtitles/fr/14_character-based-tokenizers.srt	81
subtitles/fr/15_subword-based-tokenizers.srt	96
subtitles/fr/16_the-tokenization-pipeline.srt	102
subtitles/fr/17_batching-inputs-together-(pytorch).srt	87
subtitles/fr/18_batching-inputs-together-(tensorflow).srt	84
subtitles/fr/19_hugging-face-datasets-overview-(pytorch).srt	99
subtitles/fr/20_hugging-face-datasets-overview-(tensorflow).srt	99
subtitles/fr/21_preprocessing-sentence-pairs-(pytorch).srt	90
subtitles/fr/22_preprocessing-sentence-pairs-(tensorflow).srt	93
subtitles/fr/23_what-is-dynamic-padding.srt	120
subtitles/fr/24_the-trainer-api.srt	105
subtitles/fr/25_keras-introduction.srt	78
subtitles/fr/26_fine-tuning-with-tensorflow.srt	186
subtitles/fr/27_learning-rate-scheduling-with-tensorflow.srt	120
subtitles/fr/28_tensorflow-predictions-and-metrics.srt	117
subtitles/fr/29_write-your-training-loop-in-pytorch.srt	216
subtitles/fr/30_supercharge-your-pytorch-training-loop-with-accelerate.srt	105
subtitles/fr/31_navigating-the-model-hub.srt	111
subtitles/fr/32_managing-a-repo-on-the-model-hub.srt	267
subtitles/fr/33_the-push-to-hub-api-(pytorch).srt	135
subtitles/fr/34_the-push-to-hub-api-(tensorflow).srt	261
subtitles/fr/35_loading-a-custom-dataset.srt	99
subtitles/fr/36_slice-and-dice-a-dataset-🔪.srt	123
subtitles/fr/37_datasets-+-dataframes-=-❤️.srt	87
subtitles/fr/38_saving-and-reloading-a-dataset.srt	108
subtitles/fr/39_memory-mapping-&-streaming.srt	111
subtitles/fr/40_uploading-a-dataset-to-the-hub.srt	66
subtitles/fr/41_text-embeddings-&-semantic-search.srt	111
subtitles/fr/42_training-a-new-tokenizer.srt	201
subtitles/fr/43_why-are-fast-tokenizers-called-fast.srt	54
subtitles/fr/44_fast-tokenizer-superpowers.srt	126
subtitles/fr/45_inside-the-token-classification-pipeline-(pytorch).srt	93
subtitles/fr/46_inside-the-token-classification-pipeline-(tensorflow).srt	120
subtitles/fr/47_inside-the-question-answering-pipeline-(pytorch).srt	141
subtitles/fr/48_inside-the-question-answering-pipeline-(tensorflow).srt	108
subtitles/fr/49_what-is-normalization.srt	159
subtitles/fr/50_what-is-pre-tokenization.srt	75
subtitles/fr/51_byte-pair-encoding-tokenization.srt	125
subtitles/fr/52_wordpiece-tokenization.srt	93
subtitles/fr/53_unigram-tokenization.srt	285
subtitles/fr/54_building-a-new-tokenizer.srt	156
subtitles/fr/55_data-processing-for-token-classification.srt	105
subtitles/fr/56_data-processing-for-masked-language-modeling.srt	75
subtitles/fr/57_what-is-perplexity.srt	63
subtitles/fr/58_what-is-domain-adaptation.srt	54
subtitles/fr/59_data-processing-for-translation.srt	99
subtitles/fr/60_what-is-the-bleu-metric.srt	165
subtitles/fr/61_data-processing-for-summarization.srt	63
subtitles/fr/62_what-is-the-rouge-metric.srt	141
subtitles/fr/63_data-processing-for-causal-language-modeling.srt	129
subtitles/fr/64_using-a-custom-loss-function.srt	102
subtitles/fr/65_data-processing-for-question-answering.srt	117
subtitles/fr/66_the-post-processing-step-in-question-answering-(pytorch).srt	102
subtitles/fr/67_the-post-processing-step-in-question-answering-(tensorflow).srt	102
subtitles/fr/68_data-collators-a-tour.srt	177
subtitles/fr/69_what-to-do-when-you-get-an-error.srt	81
subtitles/fr/70_using-a-debugger-in-a-notebook.srt	84
subtitles/fr/71_using-a-debugger-in-a-terminal.srt	96
subtitles/fr/72_asking-for-help-on-the-forums.srt	108
subtitles/fr/73_debugging-the-training-pipeline-(pytorch).srt	129
subtitles/fr/74_debugging-the-training-pipeline-(tensorflow).srt	189
subtitles/fr/75_writing-a-good-issue.srt	99
subtitles/fr/tasks_00_🤗-tasks-token-classification.srt	75
subtitles/fr/tasks_01_🤗-tasks-question-answering.srt	54
subtitles/fr/tasks_02_🤗-tasks-causal-language-modeling.srt	39
subtitles/fr/tasks_03_🤗-tasks-masked-language-modeling.srt	54
subtitles/fr/tasks_04_🤗-tasks-summarization.srt	42
subtitles/fr/tasks_05_🤗-tasks-translation.srt	63
subtitles/ru/00_welcome-to-the-hugging-face-course.srt	309
subtitles/ru/01_the-pipeline-function.srt	295
subtitles/ru/02_the-carbon-footprint-of-transformers.srt	387
subtitles/ru/03_what-is-transfer-learning.srt	268
subtitles/ru/04_the-transformer-architecture.srt	190
subtitles/ru/05_transformer-models-encoders.srt	304
subtitles/ru/06_transformer-models-decoders.srt	260
subtitles/ru/07_transformer-models-encoder-decoders.srt	195
subtitles/zh-CN/00_welcome-to-the-hugging-face-course.srt	412
subtitles/zh-CN/01_the-pipeline-function.srt	400
subtitles/zh-CN/02_the-carbon-footprint-of-transformers.srt	516
subtitles/zh-CN/03_what-is-transfer-learning.srt	360
subtitles/zh-CN/04_the-transformer-architecture.srt	256
subtitles/zh-CN/05_transformer-models-encoders.srt	408
subtitles/zh-CN/06_transformer-models-decoders.srt	348
subtitles/zh-CN/07_transformer-models-encoder-decoders.srt	568
subtitles/zh-CN/08_what-happens-inside-the-pipeline-function-(pytorch).srt	426
subtitles/zh-CN/09_what-happens-inside-the-pipeline-function-(tensorflow).srt	430
subtitles/zh-CN/10_instantiate-a-transformers-model-(pytorch).srt	273
subtitles/zh-CN/11_instantiate-a-transformers-model-(tensorflow).srt	284
subtitles/zh-CN/12_tokenizers-overview.srt	93
subtitles/zh-CN/13_word-based-tokenizers.srt	241
subtitles/zh-CN/14_character-based-tokenizers.srt	245
subtitles/zh-CN/15_subword-based-tokenizers.srt	289
subtitles/zh-CN/16_the-tokenization-pipeline.srt	305
subtitles/zh-CN/17_batching-inputs-together-(pytorch).srt	265
subtitles/zh-CN/18_batching-inputs-together-(tensorflow).srt	253
subtitles/zh-CN/19_hugging-face-datasets-overview-(pytorch).srt	300
subtitles/zh-CN/20_hugging-face-datasets-overview-(tensorflow).srt	284
subtitles/zh-CN/21_preprocessing-sentence-pairs-(pytorch).srt	260
subtitles/zh-CN/22_preprocessing-sentence-pairs-(tensorflow).srt	284
subtitles/zh-CN/23_what-is-dynamic-padding.srt	269
subtitles/zh-CN/24_the-trainer-api.srt	356
subtitles/zh-CN/25_keras-introduction.srt	256
subtitles/zh-CN/26_fine-tuning-with-tensorflow.srt	512
subtitles/zh-CN/27_learning-rate-scheduling-with-tensorflow.srt	424
subtitles/zh-CN/28_tensorflow-predictions-and-metrics.srt	420
subtitles/zh-CN/29_write-your-training-loop-in-pytorch.srt	496
subtitles/zh-CN/30_supercharge-your-pytorch-training-loop-with-accelerate.srt	296
subtitles/zh-CN/31_navigating-the-model-hub.srt	308
subtitles/zh-CN/32_managing-a-repo-on-the-model-hub.srt	680
subtitles/zh-CN/33_the-push-to-hub-api-(pytorch).srt	436
subtitles/zh-CN/34_the-push-to-hub-api-(tensorflow).srt	808
subtitles/zh-CN/35_loading-a-custom-dataset.srt	308
subtitles/zh-CN/36_slice-and-dice-a-dataset-🔪.srt	332
subtitles/zh-CN/37_datasets-+-dataframes-=-❤️.srt	256
subtitles/zh-CN/38_saving-and-reloading-a-dataset.srt	320
subtitles/zh-CN/39_memory-mapping-&-streaming.srt	332
subtitles/zh-CN/40_uploading-a-dataset-to-the-hub.srt	208
subtitles/zh-CN/41_text-embeddings-&-semantic-search.srt	324
subtitles/zh-CN/42_training-a-new-tokenizer.srt	452
subtitles/zh-CN/43_why-are-fast-tokenizers-called-fast.srt	148
subtitles/zh-CN/44_fast-tokenizer-superpowers.srt	300
subtitles/zh-CN/45_inside-the-token-classification-pipeline-(pytorch).srt	308
subtitles/zh-CN/46_inside-the-token-classification-pipeline-(tensorflow).srt	300
subtitles/zh-CN/47_inside-the-question-answering-pipeline-(pytorch).srt	304
subtitles/zh-CN/48_inside-the-question-answering-pipeline-(tensorflow).srt	328
subtitles/zh-CN/49_what-is-normalization.srt	372
subtitles/zh-CN/50_what-is-pre-tokenization.srt	176
subtitles/zh-CN/51_byte-pair-encoding-tokenization.srt	348
subtitles/zh-CN/52_wordpiece-tokenization.srt	256
subtitles/zh-CN/53_unigram-tokenization.srt	640
subtitles/zh-CN/54_building-a-new-tokenizer.srt	348
subtitles/zh-CN/55_data-processing-for-token-classification.srt	292
subtitles/zh-CN/56_data-processing-for-masked-language-modeling.srt	224
subtitles/zh-CN/57_what-is-perplexity.srt	212
subtitles/zh-CN/58_what-is-domain-adaptation.srt	160
subtitles/zh-CN/59_data-processing-for-translation.srt	220
subtitles/zh-CN/60_what-is-the-bleu-metric.srt	480
subtitles/zh-CN/61_data-processing-for-summarization.srt	192
subtitles/zh-CN/62_what-is-the-rouge-metric.srt	408
subtitles/zh-CN/63_data-processing-for-causal-language-modeling.srt	376
subtitles/zh-CN/64_using-a-custom-loss-function.srt	288
subtitles/zh-CN/65_data-processing-for-question-answering.srt	240
subtitles/zh-CN/66_the-post-processing-step-in-question-answering-(pytorch).srt	308
subtitles/zh-CN/67_the-post-processing-step-in-question-answering-(tensorflow).srt	296
subtitles/zh-CN/68_data-collators-a-tour.srt	588
subtitles/zh-CN/69_what-to-do-when-you-get-an-error.srt	252
subtitles/zh-CN/70_using-a-debugger-in-a-notebook.srt	288
subtitles/zh-CN/71_using-a-debugger-in-a-terminal.srt	312
subtitles/zh-CN/72_asking-for-help-on-the-forums.srt	312
subtitles/zh-CN/73_debugging-the-training-pipeline-(pytorch).srt	404
subtitles/zh-CN/74_debugging-the-training-pipeline-(tensorflow).srt	720
subtitles/zh-CN/75_writing-a-good-issue.srt	292