transformers/docs/source/ko/main_classes/onnx.md
Sungmin Oh 386401eca0
🌐 [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 <ahnjj.dev@gmail.com>

* fix: resolve suggestions

* fix: resolve suggestions

* fix: resolve suggestions

Co-authored-by: SeongWooChoi <46990061+nuatmochoi@users.noreply.github.com>

* fix: resolve suggestions

Co-authored-by: SeongWooChoi <46990061+nuatmochoi@users.noreply.github.com>

* fix: resolve suggestions

Co-authored-by: Ahnjj_DEV <ahnjj.dev@gmail.com>

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Co-authored-by: Ahnjj_DEV <ahnjj.dev@gmail.com>
Co-authored-by: SeongWooChoi <46990061+nuatmochoi@users.noreply.github.com>
2024-10-08 17:15:46 -07:00

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# 🤗 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