🌐 [i18n-KO] Translated main_classes/onnx.md to Korean (#33601)

* docs: ko: main_classes/onnx.md

* feat: nmt draft

* fix: resolve suggestions

Co-authored-by: Ahnjj_DEV <[email protected]>

* fix: resolve suggestions

* fix: resolve suggestions

* fix: resolve suggestions

Co-authored-by: SeongWooChoi <[email protected]>

* fix: resolve suggestions

Co-authored-by: SeongWooChoi <[email protected]>

* fix: resolve suggestions

Co-authored-by: Ahnjj_DEV <[email protected]>

---------

Co-authored-by: Ahnjj_DEV <[email protected]>
Co-authored-by: SeongWooChoi <[email protected]>

Author: 3 people

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

docs/source/ko/main_classes/onnx.md

@@ -0,0 +1,50 @@
+<!--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.
+
+-->
+
+# 🤗 Transformers 모델을 ONNX로 내보내기[[exporting--transformers-models-to-onnx]]
+
+🤗 트랜스포머는 `transformers.onnx` 패키지를 제공하며, 이 패키지는 설정 객체를 활용하여 모델 체크포인트를 ONNX 그래프로 변환할 수 있게 합니다.
+
+🤗 Transformers에 대한 자세한 내용은 [이 가이드](../serialization)를 참조하세요.
+
+## ONNX 설정[[onnx-configurations]]
+
+내보내려는(export) 모델 아키텍처의 유형에 따라 상속받아야 할 세 가지 추상 클래스를 제공합니다:
+
+* 인코더 기반 모델은 [`~onnx.config.OnnxConfig`]을 상속받습니다.
+* 디코더 기반 모델은 [`~onnx.config.OnnxConfigWithPast`]을 상속받습니다.
+* 인코더-디코더 기반 모델은 [`~onnx.config.OnnxSeq2SeqConfigWithPast`]을 상속받습니다.
+
+### OnnxConfig[[transformers.onnx.OnnxConfig]]
+
+[[autodoc]] onnx.config.OnnxConfig
+
+### OnnxConfigWithPast[[transformers.onnx.OnnxConfigWithPast]]
+
+[[autodoc]] onnx.config.OnnxConfigWithPast
+
+### OnnxSeq2SeqConfigWithPast[[OnnxSeq2SeqConfigWithPast]]
+
+[[autodoc]] onnx.config.OnnxSeq2SeqConfigWithPast
+
+## ONNX 특징[[onnx-features]]
+
+각 ONNX 설정은 다양한 유형의 토폴로지나 작업에 대해 모델을 내보낼 수 있게(exporting) 해주는 _features_ 세트와 연관되어 있습니다.
+
+### FeaturesManager[[transformers.onnx.FeaturesManager]]
+
+[[autodoc]] onnx.features.FeaturesManager
+