🌐 [i18n-KO] Translated modeling_utils.md to Korean (#33808)

* 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

@@ -775,12 +775,8 @@
       title: 그래프 모델
     title: (번역중) 모델
   - sections:
-    - local: in_translation
+    - local: internal/modeling_utils
-      title: (번역중) Custom Layers and Utilities
+      title: 사용자 정의 레이어 및 유틸리티
-    - local: in_translation
-      title: (번역중) Utilities for pipelines
-    - local: internal/tokenization_utils
-      title: 토크나이저를 위한 유틸리티
     - local: internal/pipelines_utils
       title: 파이프라인을 위한 유틸리티
     - local: internal/tokenization_utils

docs/source/ko/internal/modeling_utils.md

@@ -0,0 +1,83 @@
+<!--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 to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ 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.
+
+-->
+
+# 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