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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/roc_bert.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/dinov2.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/musicgen_melody.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/clipseg.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/tapas.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/van.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/efficientnet.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/encoder-decoder.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/bartpho.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/roberta.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/oneformer.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/code_llama.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/flan-t5.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/deit.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/switch_transformers.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/llava_next.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/altclip.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/swin.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/opt.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/cohere.md
# Cohere ## Overview The Cohere Command-R model was proposed in the blogpost [Command-R: Retrieval Augmented Generation at Production Scale](https://txt.cohere.com/command-r/) by the Cohere Team. The abstract from the paper is the following: *Command-R is a scalable generative model targeting RAG and Tool Use to en...
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/mluke.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/table-transformer.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/flaubert.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/mobilevit.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/bert.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/squeezebert.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/nat.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/speech_to_text.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/rwkv.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/unispeech-sat.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/speech-encoder-decoder.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/xlm-roberta.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/encodec.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/videomae.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/cpmant.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/layoutxlm.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/persimmon.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/gpt-sw3.md
<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source/en/model_doc/mixtral.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/deberta-v2.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/nllb.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/tvlt.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/lilt.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/vits.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/jamba.md
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mavonic_private_repos/transformers/docs/source/en
mavonic_private_repos/transformers/docs/source/en/model_doc/glpn.md
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mavonic_private_repos/transformers/docs/source/en/model_doc/wav2vec2.md
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mavonic_private_repos/transformers/docs/source/fr/_config.py
# docstyle-ignore INSTALL_CONTENT = """ # Installation de Transformers ! pip install transformers datasets evaluate accelerate # Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante. # ! pip install git+https://github.com/huggingface/transform...
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mavonic_private_repos/transformers/docs/source/fr/autoclass_tutorial.md
<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/fr/_toctree.yml
- sections: - local: index title: 🤗 Transformers - local: quicktour title: Visite rapide - local: installation title: Installation title: Démarrer - sections: - local: in_translation title: Pipelines pour l'inférence - local: autoclass_tutorial title: Chargement d'in...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/fr/index.md
<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/fr/in_translation.md
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # Traduction en cours.
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/fr/installation.md
<!--- Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or ...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/fr/quicktour.md
<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/te/_toctree.yml
- sections: - local: index title: 🤗 Transformers - local: quicktour title: త్వరిత పర్యటన title: ప్రారంభించడానికి
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/te/index.md
<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/te/quicktour.md
<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/fast_tokenizers.md
<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/model_memory_anatomy.md
<!--- Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or ...
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mavonic_private_repos/transformers/docs/source/ko/testing.md
<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/run_scripts.md
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mavonic_private_repos/transformers/docs/source/ko/create_a_model.md
<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/pipeline_webserver.md
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # 웹 서버를 위한 파이프라인 사용하기[[using_pipelines_for_a_webserver]] <Tip> 추론 엔진을 만드는 것은 복잡한 주제이며, "최선의" 솔루션은 문제 공간에 따라 달라질 가능성이 높습니다. CPU 또는 GPU를 사용하는지에 따라 다르고...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/community.md
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # 커뮤니티 [[community]] 이 페이지는 커뮤니티에서 개발한 🤗 Transformers 리소스를 재구성한 페이지입니다. ## 커뮤니티 리소스: [[community-resources]] | 리소스 | 설명 | 만든이 ...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/tf_xla.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/attention.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/bertology.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/transformers_agents.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/custom_tools.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/torchscript.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/_config.py
# docstyle-ignore INSTALL_CONTENT = """ # Transformers 설치 방법 ! pip install transformers datasets evaluate accelerate # 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요. # ! pip install git+https://github.com/huggingface/transformers.git """ notebook_first_cells = [{"type": "code", "content": INSTALL_CONTENT}] black_...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/performance.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/tflite.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perf_train_cpu.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/model_summary.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/autoclass_tutorial.md
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mavonic_private_repos/transformers/docs/source/ko/multilingual.md
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mavonic_private_repos/transformers/docs/source/ko/model_sharing.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/custom_models.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perf_infer_cpu.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perplexity.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perf_train_cpu_many.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perf_train_gpu_many.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/generation_strategies.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/pipeline_tutorial.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/add_new_pipeline.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/_toctree.yml
- sections: - local: index title: 🤗 Transformers - local: quicktour title: 둘러보기 - local: installation title: 설치방법 title: 시작하기 - sections: - local: pipeline_tutorial title: Pipeline으로 추론하기 - local: autoclass_tutorial title: AutoClass로 사전 학습된 인스턴스 로드하기 - local: preprocessing title: ...
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/tasks_explained.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/perf_infer_gpu_one.md
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mavonic_private_repos/transformers/docs/source/ko/debugging.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/index.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/big_models.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/in_translation.md
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # 열심히 번역 중입니다. 조금 이따 만나요!
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/training.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/serialization.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/accelerate.md
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mavonic_private_repos/transformers/docs/source/ko/llm_tutorial.md
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mavonic_private_repos/transformers/docs/source/ko/perf_train_tpu_tf.md
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mavonic_private_repos/transformers/docs/source/ko/perf_hardware.md
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mavonic_private_repos/transformers/docs/source
mavonic_private_repos/transformers/docs/source/ko/contributing.md
<!--- Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or ...
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