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Md Saiful Islam Sayef 155b23008e Update FSNER code in examples->research_projects->fsner (#13864 ) * Add example use of few-shot named entity recognition model in research_projects folder. * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update fsner example README.md. - Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code - Add a link to the model identifier * Update examples/research_projects/fsner/src/fsner/model.py Fix spelling mistake in the default parameter of pretrained model name. Co-authored-by: Stefan Schweter <stefan@schweter.it> * Add example use of few-shot named entity recognition model in research_projects folder. * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update fsner example README.md. - Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code - Add a link to the model identifier * Update examples/research_projects/fsner/src/fsner/model.py Fix spelling mistake in the default parameter of pretrained model name. Co-authored-by: Stefan Schweter <stefan@schweter.it> * Run Checking/fixing examples/flax/language-modeling/run_clm_flax.py examples/flax/question-answering/run_qa.py examples/flax/question-answering/utils_qa.py examples/flax/token-classification/run_flax_ner.py examples/legacy/multiple_choice/utils_multiple_choice.py examples/legacy/seq2seq/seq2seq_trainer.py examples/legacy/token-classification/utils_ner.py examples/pytorch/image-classification/run_image_classification.py examples/pytorch/language-modeling/run_clm.py examples/pytorch/language-modeling/run_clm_no_trainer.py examples/pytorch/language-modeling/run_mlm.py examples/pytorch/language-modeling/run_mlm_no_trainer.py examples/pytorch/language-modeling/run_plm.py examples/pytorch/multiple-choice/run_swag.py examples/pytorch/multiple-choice/run_swag_no_trainer.py examples/pytorch/question-answering/run_qa.py examples/pytorch/question-answering/run_qa_beam_search.py examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py examples/pytorch/question-answering/run_qa_no_trainer.py examples/pytorch/summarization/run_summarization.py examples/pytorch/summarization/run_summarization_no_trainer.py examples/pytorch/test_examples.py examples/pytorch/text-classification/run_glue.py examples/pytorch/text-classification/run_glue_no_trainer.py examples/pytorch/text-classification/run_xnli.py examples/pytorch/token-classification/run_ner.py examples/pytorch/token-classification/run_ner_no_trainer.py examples/pytorch/translation/run_translation.py examples/pytorch/translation/run_translation_no_trainer.py examples/research_projects/adversarial/utils_hans.py examples/research_projects/distillation/grouped_batch_sampler.py examples/research_projects/fsner/setup.py examples/research_projects/fsner/src/fsner/__init__.py examples/research_projects/fsner/src/fsner/model.py examples/research_projects/fsner/src/fsner/tokenizer_utils.py examples/research_projects/jax-projects/big_bird/evaluate.py examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py examples/tensorflow/language-modeling/run_clm.py examples/tensorflow/multiple-choice/run_swag.py examples/tensorflow/question-answering/run_qa.py examples/tensorflow/summarization/run_summarization.py examples/tensorflow/text-classification/run_glue.py examples/tensorflow/translation/run_translation.py src/transformers/__init__.py src/transformers/commands/add_new_model.py src/transformers/configuration_utils.py src/transformers/convert_slow_tokenizer.py src/transformers/data/__init__.py src/transformers/data/data_collator.py src/transformers/data/datasets/glue.py src/transformers/data/datasets/language_modeling.py src/transformers/data/datasets/squad.py src/transformers/deepspeed.py src/transformers/dependency_versions_table.py src/transformers/feature_extraction_sequence_utils.py src/transformers/file_utils.py src/transformers/generation_flax_utils.py src/transformers/generation_logits_process.py src/transformers/generation_tf_utils.py src/transformers/generation_utils.py src/transformers/integrations.py src/transformers/modelcard.py src/transformers/modeling_flax_utils.py src/transformers/modeling_outputs.py src/transformers/modeling_tf_utils.py src/transformers/modeling_utils.py src/transformers/models/__init__.py src/transformers/models/albert/__init__.py src/transformers/models/albert/modeling_albert.py src/transformers/models/albert/modeling_flax_albert.py src/transformers/models/albert/tokenization_albert_fast.py src/transformers/models/auto/__init__.py src/transformers/models/auto/auto_factory.py src/transformers/models/auto/configuration_auto.py src/transformers/models/auto/dynamic.py src/transformers/models/auto/feature_extraction_auto.py src/transformers/models/auto/modeling_auto.py src/transformers/models/auto/modeling_flax_auto.py src/transformers/models/auto/modeling_tf_auto.py src/transformers/models/auto/tokenization_auto.py src/transformers/models/bart/configuration_bart.py src/transformers/models/bart/modeling_bart.py src/transformers/models/bart/modeling_flax_bart.py src/transformers/models/bart/modeling_tf_bart.py src/transformers/models/barthez/tokenization_barthez_fast.py src/transformers/models/beit/__init__.py src/transformers/models/beit/configuration_beit.py src/transformers/models/beit/modeling_beit.py src/transformers/models/beit/modeling_flax_beit.py src/transformers/models/bert/configuration_bert.py src/transformers/models/bert/modeling_bert.py src/transformers/models/bert/modeling_flax_bert.py src/transformers/models/bert_generation/configuration_bert_generation.py src/transformers/models/bert_generation/modeling_bert_generation.py src/transformers/models/big_bird/configuration_big_bird.py src/transformers/models/big_bird/modeling_big_bird.py src/transformers/models/big_bird/modeling_flax_big_bird.py src/transformers/models/big_bird/tokenization_big_bird_fast.py src/transformers/models/bigbird_pegasus/configuration_bigbird_pegasus.py src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py src/transformers/models/blenderbot/configuration_blenderbot.py src/transformers/models/blenderbot/modeling_blenderbot.py src/transformers/models/blenderbot/modeling_tf_blenderbot.py src/transformers/models/blenderbot_small/configuration_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_tf_blenderbot_small.py src/transformers/models/byt5/tokenization_byt5.py src/transformers/models/camembert/tokenization_camembert_fast.py src/transformers/models/canine/configuration_canine.py src/transformers/models/canine/modeling_canine.py src/transformers/models/clip/configuration_clip.py src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py src/transformers/models/clip/modeling_clip.py src/transformers/models/clip/modeling_flax_clip.py src/transformers/models/clip/tokenization_clip.py src/transformers/models/convbert/modeling_convbert.py src/transformers/models/ctrl/configuration_ctrl.py src/transformers/models/deberta/modeling_tf_deberta.py src/transformers/models/deberta_v2/__init__.py src/transformers/models/deberta_v2/modeling_deberta_v2.py src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py src/transformers/models/deit/configuration_deit.py src/transformers/models/deit/modeling_deit.py src/transformers/models/detr/configuration_detr.py src/transformers/models/detr/modeling_detr.py src/transformers/models/distilbert/__init__.py src/transformers/models/distilbert/configuration_distilbert.py src/transformers/models/distilbert/modeling_distilbert.py src/transformers/models/distilbert/modeling_flax_distilbert.py src/transformers/models/dpr/configuration_dpr.py src/transformers/models/dpr/modeling_dpr.py src/transformers/models/electra/modeling_electra.py src/transformers/models/electra/modeling_flax_electra.py src/transformers/models/encoder_decoder/__init__.py src/transformers/models/encoder_decoder/modeling_encoder_decoder.py src/transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py src/transformers/models/flaubert/configuration_flaubert.py src/transformers/models/flaubert/modeling_flaubert.py src/transformers/models/fnet/__init__.py src/transformers/models/fnet/configuration_fnet.py src/transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py src/transformers/models/fnet/modeling_fnet.py src/transformers/models/fnet/tokenization_fnet.py src/transformers/models/fnet/tokenization_fnet_fast.py src/transformers/models/fsmt/configuration_fsmt.py src/transformers/models/fsmt/modeling_fsmt.py src/transformers/models/funnel/configuration_funnel.py src/transformers/models/gpt2/__init__.py src/transformers/models/gpt2/configuration_gpt2.py src/transformers/models/gpt2/modeling_flax_gpt2.py src/transformers/models/gpt2/modeling_gpt2.py src/transformers/models/gpt2/modeling_tf_gpt2.py src/transformers/models/gpt_neo/configuration_gpt_neo.py src/transformers/models/gpt_neo/modeling_gpt_neo.py src/transformers/models/gptj/__init__.py src/transformers/models/gptj/configuration_gptj.py src/transformers/models/gptj/modeling_gptj.py src/transformers/models/herbert/tokenization_herbert_fast.py src/transformers/models/hubert/__init__.py src/transformers/models/hubert/configuration_hubert.py src/transformers/models/hubert/convert_hubert_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/hubert/modeling_hubert.py src/transformers/models/hubert/modeling_tf_hubert.py src/transformers/models/ibert/modeling_ibert.py src/transformers/models/layoutlm/__init__.py src/transformers/models/layoutlm/configuration_layoutlm.py src/transformers/models/layoutlm/modeling_layoutlm.py src/transformers/models/layoutlmv2/__init__.py src/transformers/models/layoutlmv2/configuration_layoutlmv2.py src/transformers/models/layoutlmv2/feature_extraction_layoutlmv2.py src/transformers/models/layoutlmv2/modeling_layoutlmv2.py src/transformers/models/layoutlmv2/processing_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py src/transformers/models/led/configuration_led.py src/transformers/models/led/modeling_led.py src/transformers/models/longformer/modeling_longformer.py src/transformers/models/luke/configuration_luke.py src/transformers/models/luke/modeling_luke.py src/transformers/models/luke/tokenization_luke.py src/transformers/models/lxmert/configuration_lxmert.py src/transformers/models/m2m_100/configuration_m2m_100.py src/transformers/models/m2m_100/modeling_m2m_100.py src/transformers/models/m2m_100/tokenization_m2m_100.py src/transformers/models/marian/configuration_marian.py src/transformers/models/marian/modeling_flax_marian.py src/transformers/models/marian/modeling_marian.py src/transformers/models/marian/modeling_tf_marian.py src/transformers/models/mbart/configuration_mbart.py src/transformers/models/mbart/modeling_flax_mbart.py src/transformers/models/mbart/modeling_mbart.py src/transformers/models/mbart/tokenization_mbart.py src/transformers/models/mbart/tokenization_mbart_fast.py src/transformers/models/mbart50/tokenization_mbart50.py src/transformers/models/mbart50/tokenization_mbart50_fast.py src/transformers/models/megatron_bert/configuration_megatron_bert.py src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py src/transformers/models/megatron_bert/modeling_megatron_bert.py src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py src/transformers/models/openai/configuration_openai.py src/transformers/models/pegasus/__init__.py src/transformers/models/pegasus/configuration_pegasus.py src/transformers/models/pegasus/modeling_flax_pegasus.py src/transformers/models/pegasus/modeling_pegasus.py src/transformers/models/pegasus/modeling_tf_pegasus.py src/transformers/models/pegasus/tokenization_pegasus_fast.py src/transformers/models/prophetnet/configuration_prophetnet.py src/transformers/models/prophetnet/modeling_prophetnet.py src/transformers/models/rag/modeling_rag.py src/transformers/models/rag/modeling_tf_rag.py src/transformers/models/reformer/configuration_reformer.py src/transformers/models/reformer/tokenization_reformer_fast.py src/transformers/models/rembert/configuration_rembert.py src/transformers/models/rembert/modeling_rembert.py src/transformers/models/rembert/tokenization_rembert_fast.py src/transformers/models/roberta/modeling_flax_roberta.py src/transformers/models/roberta/modeling_roberta.py src/transformers/models/roberta/modeling_tf_roberta.py src/transformers/models/roformer/configuration_roformer.py src/transformers/models/roformer/modeling_roformer.py src/transformers/models/speech_encoder_decoder/__init__.py src/transformers/models/speech_encoder_decoder/configuration_speech_encoder_decoder.py src/transformers/models/speech_encoder_decoder/convert_speech_to_text_wav2vec2_seq2seq_original_to_pytorch.py src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py src/transformers/models/speech_to_text/configuration_speech_to_text.py src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py src/transformers/models/speech_to_text/modeling_speech_to_text.py src/transformers/models/speech_to_text_2/__init__.py src/transformers/models/speech_to_text_2/configuration_speech_to_text_2.py src/transformers/models/speech_to_text_2/modeling_speech_to_text_2.py src/transformers/models/speech_to_text_2/processing_speech_to_text_2.py src/transformers/models/speech_to_text_2/tokenization_speech_to_text_2.py src/transformers/models/splinter/configuration_splinter.py src/transformers/models/splinter/modeling_splinter.py src/transformers/models/t5/configuration_t5.py src/transformers/models/t5/modeling_flax_t5.py src/transformers/models/t5/modeling_t5.py src/transformers/models/t5/modeling_tf_t5.py src/transformers/models/t5/tokenization_t5_fast.py src/transformers/models/tapas/__init__.py src/transformers/models/tapas/configuration_tapas.py src/transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py src/transformers/models/tapas/modeling_tapas.py src/transformers/models/tapas/tokenization_tapas.py src/transformers/models/transfo_xl/configuration_transfo_xl.py src/transformers/models/visual_bert/modeling_visual_bert.py src/transformers/models/vit/configuration_vit.py src/transformers/models/vit/convert_dino_to_pytorch.py src/transformers/models/vit/modeling_flax_vit.py src/transformers/models/vit/modeling_vit.py src/transformers/models/wav2vec2/__init__.py src/transformers/models/wav2vec2/configuration_wav2vec2.py src/transformers/models/wav2vec2/convert_wav2vec2_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py src/transformers/models/wav2vec2/modeling_flax_wav2vec2.py src/transformers/models/wav2vec2/modeling_wav2vec2.py src/transformers/models/wav2vec2/tokenization_wav2vec2.py src/transformers/models/xlm/configuration_xlm.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py src/transformers/models/xlnet/configuration_xlnet.py src/transformers/models/xlnet/tokenization_xlnet_fast.py src/transformers/onnx/convert.py src/transformers/onnx/features.py src/transformers/optimization.py src/transformers/pipelines/__init__.py src/transformers/pipelines/audio_classification.py src/transformers/pipelines/automatic_speech_recognition.py src/transformers/pipelines/base.py src/transformers/pipelines/conversational.py src/transformers/pipelines/feature_extraction.py src/transformers/pipelines/fill_mask.py src/transformers/pipelines/image_classification.py src/transformers/pipelines/object_detection.py src/transformers/pipelines/question_answering.py src/transformers/pipelines/table_question_answering.py src/transformers/pipelines/text2text_generation.py src/transformers/pipelines/text_classification.py src/transformers/pipelines/text_generation.py src/transformers/pipelines/token_classification.py src/transformers/pipelines/zero_shot_classification.py src/transformers/testing_utils.py src/transformers/tokenization_utils.py src/transformers/tokenization_utils_base.py src/transformers/tokenization_utils_fast.py src/transformers/trainer.py src/transformers/trainer_callback.py src/transformers/trainer_pt_utils.py src/transformers/trainer_seq2seq.py src/transformers/trainer_utils.py src/transformers/training_args.py src/transformers/training_args_seq2seq.py src/transformers/utils/dummy_detectron2_objects.py src/transformers/utils/dummy_flax_objects.py src/transformers/utils/dummy_pt_objects.py src/transformers/utils/dummy_tf_objects.py src/transformers/utils/dummy_tokenizers_objects.py src/transformers/utils/dummy_vision_objects.py tests/deepspeed/test_deepspeed.py tests/sagemaker/conftest.py tests/sagemaker/test_multi_node_data_parallel.py tests/test_configuration_auto.py tests/test_configuration_common.py tests/test_data_collator.py tests/test_feature_extraction_auto.py tests/test_feature_extraction_layoutlmv2.py tests/test_feature_extraction_speech_to_text.py tests/test_feature_extraction_wav2vec2.py tests/test_file_utils.py tests/test_modeling_auto.py tests/test_modeling_bart.py tests/test_modeling_beit.py tests/test_modeling_bert.py tests/test_modeling_clip.py tests/test_modeling_common.py tests/test_modeling_convbert.py tests/test_modeling_deit.py tests/test_modeling_distilbert.py tests/test_modeling_encoder_decoder.py tests/test_modeling_flaubert.py tests/test_modeling_flax_albert.py tests/test_modeling_flax_bart.py tests/test_modeling_flax_beit.py tests/test_modeling_flax_distilbert.py tests/test_modeling_flax_encoder_decoder.py tests/test_modeling_flax_gpt2.py tests/test_modeling_flax_gpt_neo.py tests/test_modeling_flax_mt5.py tests/test_modeling_flax_pegasus.py tests/test_modeling_fnet.py tests/test_modeling_gpt2.py tests/test_modeling_gpt_neo.py tests/test_modeling_gptj.py tests/test_modeling_hubert.py tests/test_modeling_layoutlmv2.py tests/test_modeling_pegasus.py tests/test_modeling_rag.py tests/test_modeling_reformer.py tests/test_modeling_speech_encoder_decoder.py tests/test_modeling_speech_to_text.py tests/test_modeling_speech_to_text_2.py tests/test_modeling_tf_auto.py tests/test_modeling_tf_deberta_v2.py tests/test_modeling_tf_hubert.py tests/test_modeling_tf_pytorch.py tests/test_modeling_tf_wav2vec2.py tests/test_modeling_wav2vec2.py tests/test_onnx_v2.py tests/test_pipelines_audio_classification.py tests/test_pipelines_automatic_speech_recognition.py tests/test_pipelines_common.py tests/test_pipelines_conversational.py tests/test_pipelines_feature_extraction.py tests/test_pipelines_fill_mask.py tests/test_pipelines_image_classification.py tests/test_pipelines_object_detection.py tests/test_pipelines_question_answering.py tests/test_pipelines_summarization.py tests/test_pipelines_table_question_answering.py tests/test_pipelines_text2text_generation.py tests/test_pipelines_text_classification.py tests/test_pipelines_text_generation.py tests/test_pipelines_token_classification.py tests/test_pipelines_translation.py tests/test_pipelines_zero_shot.py tests/test_processor_layoutlmv2.py tests/test_processor_wav2vec2.py tests/test_sequence_feature_extraction_common.py tests/test_tokenization_auto.py tests/test_tokenization_byt5.py tests/test_tokenization_canine.py tests/test_tokenization_common.py tests/test_tokenization_fnet.py tests/test_tokenization_layoutlmv2.py tests/test_tokenization_luke.py tests/test_tokenization_mbart.py tests/test_tokenization_mbart50.py tests/test_tokenization_speech_to_text_2.py tests/test_tokenization_t5.py tests/test_tokenization_tapas.py tests/test_tokenization_xlm_roberta.py tests/test_trainer.py tests/test_trainer_distributed.py tests/test_trainer_tpu.py tests/test_utils_check_copies.py utils/check_copies.py utils/check_repo.py utils/notification_service.py utils/release.py utils/tests_fetcher.py python utils/custom_init_isort.py python utils/style_doc.py src/transformers docs/source --max_len 119 running deps_table_update updating src/transformers/dependency_versions_table.py python utils/check_copies.py python utils/check_table.py python utils/check_dummies.py python utils/check_repo.py Checking all models are public. Checking all models are properly tested. Checking all objects are properly documented. Checking all models are in at least one auto class. python utils/check_inits.py python utils/tests_fetcher.py --sanity_check and fix suggested changes. * Run black examples tests src utils isort examples tests src utils Skipped 1 files make autogenerate_code make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' running deps_table_update updating src/transformers/dependency_versions_table.py make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' make extra_style_checks make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' python utils/custom_init_isort.py python utils/style_doc.py src/transformers docs/source --max_len 119 make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' for reformatting code. * Add installation dependencies for examples/research_projects/fsner. * Add support to pass in variable numbers of examples to FSNER model. * Retrieve start_token_id and end_token_id from tokenizer instead of hardcoding in the FSNER model. * Run black examples tests src utils isort examples tests src utils Skipped 1 files make autogenerate_code make[1]: Entering directory '/home/saif/transformers' running deps_table_update updating src/transformers/dependency_versions_table.py make[1]: Leaving directory '/home/saif/transformers' make extra_style_checks make[1]: Entering directory '/home/saif/transformers' python utils/custom_init_isort.py python utils/style_doc.py src/transformers docs/source --max_len 119 make[1]: Leaving directory '/home/saif/transformers' for FSNER * Update FSNER readme.md with a header image. * Update FSNER readme Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Stefan Schweter <stefan@schweter.it>		2021-10-05 22:47:11 -04:00
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adversarial	Update namespaces inside torch.utils.data to the latest. (#13167 )	2021-08-19 14:29:51 +02:00
bert-loses-patience	remove extra white space from log format (#12360 )	2021-06-25 13:20:14 -07:00
bertabs	make style (#11442 )	2021-04-26 13:50:34 +02:00
bertology	[style] consistent nn. and nn.functional: part 4 `examples` (#12156 )	2021-06-14 12:28:24 -07:00
deebert	remove extra white space from log format (#12360 )	2021-06-25 13:20:14 -07:00
distillation	Update namespaces inside torch.utils.data to the latest. (#13167 )	2021-08-19 14:29:51 +02:00
fsner	Update FSNER code in examples->research_projects->fsner (#13864 )	2021-10-05 22:47:11 -04:00
jax-projects	[Flax/run_hybrid_clip] Fix duplicating images when captions_per_image exceeds the number of captions, enable truncation	2021-09-02 11:19:49 +05:30
longform-qa	[style] consistent nn. and nn.functional: part 4 `examples` (#12156 )	2021-06-14 12:28:24 -07:00
lxmert	upgrade sentencepiece version (#13564 )	2021-09-15 15:25:03 +02:00
mlm_wwm	fix research_projects/mlm_wwm readme.md examples (#13646 )	2021-09-20 15:01:35 -04:00
mm-imdb	remove extra white space from log format (#12360 )	2021-06-25 13:20:14 -07:00
movement-pruning	upgrade sentencepiece version (#13564 )	2021-09-15 15:25:03 +02:00
performer	remove extra white space from log format (#12360 )	2021-06-25 13:20:14 -07:00
pplm	[style] consistent nn. and nn.functional: part 4 `examples` (#12156 )	2021-06-14 12:28:24 -07:00
rag	minor fixes in original RAG training (#12395 )	2021-06-29 13:39:48 +01:00
rag-end2end-retriever	rm require_version_examples (#12088 )	2021-06-09 11:02:52 -07:00
seq2seq-distillation	Rely on huggingface_hub for common tools (#13100 )	2021-08-12 14:59:02 +02:00
visual_bert	upgrade sentencepiece version (#13564 )	2021-09-15 15:25:03 +02:00
wav2vec2	Update README.md	2021-08-08 17:11:19 +02:00
zero-shot-distillation	remove extra white space from log format (#12360 )	2021-06-25 13:20:14 -07:00
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README.md

Research projects

This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.

To use any of them, just run the command

pip install -r requirements.txt

inside the folder of your choice.

If you need help with any of those, contact the author(s), indicated at the top of the README of each folder.