From 984ff55d5e57af32d80a08cfd49a0873c2885ce1 Mon Sep 17 00:00:00 2001
From: Sungmin Oh <fabxoe.kor@gmail.com>
Date: Fri, 20 Sep 2024 02:31:20 +0900
Subject: [PATCH 1/2] docs: ko: main_classes/onnx.md

---
 docs/source/ko/_toctree.yml         |  4 +--
 docs/source/ko/main_classes/onnx.md | 54 +++++++++++++++++++++++++++++
 2 files changed, 56 insertions(+), 2 deletions(-)
 create mode 100644 docs/source/ko/main_classes/onnx.md

diff --git a/docs/source/ko/_toctree.yml b/docs/source/ko/_toctree.yml
index eafd389994ad52..df1a5b5c539489 100644
--- a/docs/source/ko/_toctree.yml
+++ b/docs/source/ko/_toctree.yml
@@ -288,8 +288,8 @@
       title: (번역중) Models
     - local: in_translation
       title: (번역중) Text Generation
-    - local: in_translation
-      title: (번역중) ONNX
+    - local: main_classes/onnx
+      title: ONNX
     - local: in_translation
       title: (번역중) Optimization
     - local: in_translation
diff --git a/docs/source/ko/main_classes/onnx.md b/docs/source/ko/main_classes/onnx.md
new file mode 100644
index 00000000000000..6782e3fba463c2
--- /dev/null
+++ b/docs/source/ko/main_classes/onnx.md
@@ -0,0 +1,54 @@
+<!--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.
+
+-->
+
+# Exporting 🤗 Transformers models to ONNX[[exporting--transformers-models-to-onnx]]
+
+🤗 Transformers provides a `transformers.onnx` package that enables you to
+convert model checkpoints to an ONNX graph by leveraging configuration objects.
+
+See the [guide](../serialization) on exporting 🤗 Transformers models for more
+details.
+
+## ONNX Configurations[[onnx-configurations]]
+
+We provide three abstract classes that you should inherit from, depending on the
+type of model architecture you wish to export:
+
+* Encoder-based models inherit from [`~onnx.config.OnnxConfig`]
+* Decoder-based models inherit from [`~onnx.config.OnnxConfigWithPast`]
+* Encoder-decoder models inherit from [`~onnx.config.OnnxSeq2SeqConfigWithPast`]
+
+### OnnxConfig[[transformers.onnx.OnnxConfig]]
+
+[[autodoc]] onnx.config.OnnxConfig
+
+### OnnxConfigWithPast[[transformers.onnx.OnnxConfigWithPast]]
+
+[[autodoc]] onnx.config.OnnxConfigWithPast
+
+### OnnxSeq2SeqConfigWithPast[[OnnxSeq2SeqConfigWithPast]]
+
+[[autodoc]] onnx.config.OnnxSeq2SeqConfigWithPast
+
+## ONNX Features[[onnx-features]]
+
+Each ONNX configuration is associated with a set of _features_ that enable you
+to export models for different types of topologies or tasks.
+
+### FeaturesManager[[transformers.onnx.FeaturesManager]]
+
+[[autodoc]] onnx.features.FeaturesManager
+

From 6c0d697518b4b4101433e6cb1028575780c25eae Mon Sep 17 00:00:00 2001
From: Sungmin Oh <fabxoe.kor@gmail.com>
Date: Fri, 20 Sep 2024 02:45:56 +0900
Subject: [PATCH 2/2] feat: nmt draft

---
 docs/source/ko/main_classes/onnx.md | 24 ++++++++++--------------
 1 file changed, 10 insertions(+), 14 deletions(-)

diff --git a/docs/source/ko/main_classes/onnx.md b/docs/source/ko/main_classes/onnx.md
index 6782e3fba463c2..aa0eb7411575c5 100644
--- a/docs/source/ko/main_classes/onnx.md
+++ b/docs/source/ko/main_classes/onnx.md
@@ -14,22 +14,19 @@ rendered properly in your Markdown viewer.
 
 -->
 
-# Exporting 🤗 Transformers models to ONNX[[exporting--transformers-models-to-onnx]]
+# 🤗 트랜스포머 모델을 ONNX로 내보내기[[exporting--transformers-models-to-onnx]]
 
-🤗 Transformers provides a `transformers.onnx` package that enables you to
-convert model checkpoints to an ONNX graph by leveraging configuration objects.
+🤗 트랜스포머는 `transformers.onnx` 패키지를 제공하며, 패키지를 통해 설정 객체를 활용함으로써 모델 체크포인트를 ONNX 그래프로 변환할 수 있게 합니다.
 
-See the [guide](../serialization) on exporting 🤗 Transformers models for more
-details.
+🤗 트랜스포머에 대한 자세한 내용은 [이 가이드](../serialization)를 참조하세요.
 
-## ONNX Configurations[[onnx-configurations]]
+## ONNX 설정[[onnx-configurations]]
 
-We provide three abstract classes that you should inherit from, depending on the
-type of model architecture you wish to export:
+내보내고자 하는 모델 아키텍처의 유형에 따라 상속받아야 할 세 가지 추상 클래스를 제공합니다:
 
-* Encoder-based models inherit from [`~onnx.config.OnnxConfig`]
-* Decoder-based models inherit from [`~onnx.config.OnnxConfigWithPast`]
-* Encoder-decoder models inherit from [`~onnx.config.OnnxSeq2SeqConfigWithPast`]
+* 인코더 기반 모델은 [`~onnx.config.OnnxConfig`]에서 상속받습니다.
+* 디코더 기반 모델은 [`~onnx.config.OnnxConfigWithPast`]에서 상속받습니다.
+* 인코더-디코더 기반 모델은 [`~onnx.config.OnnxSeq2SeqConfigWithPast`]에서 상속받습니다.
 
 ### OnnxConfig[[transformers.onnx.OnnxConfig]]
 
@@ -43,10 +40,9 @@ type of model architecture you wish to export:
 
 [[autodoc]] onnx.config.OnnxSeq2SeqConfigWithPast
 
-## ONNX Features[[onnx-features]]
+## ONNX 특징[[onnx-features]]
 
-Each ONNX configuration is associated with a set of _features_ that enable you
-to export models for different types of topologies or tasks.
+각 ONNX 설정은 다양한 유형의 토폴로지나 작업에 대해 모델을 내보낼 수 있게 해주는 _features_ 세트와 연관되어 있습니다.
 
 ### FeaturesManager[[transformers.onnx.FeaturesManager]]