From 6ac5f25bb645b61ed2e77f80e39885b4a722e1ba Mon Sep 17 00:00:00 2001 From: Yijun Lee <119404328+yijun-lee@users.noreply.github.com> Date: Thu, 10 Oct 2024 02:50:03 +0900 Subject: [PATCH] =?UTF-8?q?=F0=9F=8C=90=20[i18n-KO]=20Translated=20`modeli?= =?UTF-8?q?ng=5Futils.md`=20to=20Korean=20(#33808)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs: ko: modeling_utils.md * feat: nmt draft * fix: manual edits * fix: resolve suggestions Co-authored-by: Jiwook Han <33192762+mreraser@users.noreply.github.com> --------- Co-authored-by: Jiwook Han <33192762+mreraser@users.noreply.github.com> --- docs/source/ko/_toctree.yml | 8 +-- docs/source/ko/internal/modeling_utils.md | 83 +++++++++++++++++++++++ 2 files changed, 85 insertions(+), 6 deletions(-) create mode 100644 docs/source/ko/internal/modeling_utils.md diff --git a/docs/source/ko/_toctree.yml b/docs/source/ko/_toctree.yml index 043e49da0f..dc8416fcfd 100644 --- a/docs/source/ko/_toctree.yml +++ b/docs/source/ko/_toctree.yml @@ -775,12 +775,8 @@ title: 그래프 모델 title: (번역중) 모델 - sections: - - local: in_translation - title: (번역중) Custom Layers and Utilities - - local: in_translation - title: (번역중) Utilities for pipelines - - local: internal/tokenization_utils - title: 토크나이저를 위한 유틸리티 + - local: internal/modeling_utils + title: 사용자 정의 레이어 및 유틸리티 - local: internal/pipelines_utils title: 파이프라인을 위한 유틸리티 - local: internal/tokenization_utils diff --git a/docs/source/ko/internal/modeling_utils.md b/docs/source/ko/internal/modeling_utils.md new file mode 100644 index 0000000000..76cc09db29 --- /dev/null +++ b/docs/source/ko/internal/modeling_utils.md @@ -0,0 +1,83 @@ + + +# 사용자 정의 레이어 및 유틸리티 [[custom-layers-and-utilities]] + +이 페이지는 라이브러리에서 사용되는 사용자 정의 레이어와 모델링을 위한 유틸리티 함수들을 나열합니다. + +이 함수들 대부분은 라이브러리 내의 모델 코드를 연구할 때만 유용합니다. + + +## PyTorch 사용자 정의 모듈 [[transformers.Conv1D]] + +[[autodoc]] pytorch_utils.Conv1D + +[[autodoc]] modeling_utils.PoolerStartLogits + - forward + +[[autodoc]] modeling_utils.PoolerEndLogits + - forward + +[[autodoc]] modeling_utils.PoolerAnswerClass + - forward + +[[autodoc]] modeling_utils.SquadHeadOutput + +[[autodoc]] modeling_utils.SQuADHead + - forward + +[[autodoc]] modeling_utils.SequenceSummary + - forward + +## PyTorch 헬퍼(helper) 함수 [[transformers.apply_chunking_to_forward]] + +[[autodoc]] pytorch_utils.apply_chunking_to_forward + +[[autodoc]] pytorch_utils.find_pruneable_heads_and_indices + +[[autodoc]] pytorch_utils.prune_layer + +[[autodoc]] pytorch_utils.prune_conv1d_layer + +[[autodoc]] pytorch_utils.prune_linear_layer + +## TensorFlow 사용자 정의 레이어 [[transformers.modeling_tf_utils.TFConv1D]] + +[[autodoc]] modeling_tf_utils.TFConv1D + +[[autodoc]] modeling_tf_utils.TFSequenceSummary + +## TensorFlow 손실 함수 [[transformers.modeling_tf_utils.TFCausalLanguageModelingLoss]] + +[[autodoc]] modeling_tf_utils.TFCausalLanguageModelingLoss + +[[autodoc]] modeling_tf_utils.TFMaskedLanguageModelingLoss + +[[autodoc]] modeling_tf_utils.TFMultipleChoiceLoss + +[[autodoc]] modeling_tf_utils.TFQuestionAnsweringLoss + +[[autodoc]] modeling_tf_utils.TFSequenceClassificationLoss + +[[autodoc]] modeling_tf_utils.TFTokenClassificationLoss + +## TensorFlow 도우미 함수 [[transformers.modeling_tf_utils.get_initializer]] + +[[autodoc]] modeling_tf_utils.get_initializer + +[[autodoc]] modeling_tf_utils.keras_serializable + +[[autodoc]] modeling_tf_utils.shape_list