Repository: transformers
Issue: 🌐 [i18n-KO] Translating docs to Korean
Labels: Documentation,WIP

Hi!

Let's bring the documentation to all the Korean-speaking community 🌏  (currently 9 out of 77 complete)

Would you want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like to translate any, and we'll add your name to the list.

Some notes:

* Please translate using an informal tone (imagine you are talking with a friend about transformers 🤗).
* Please translate in a gender-neutral way.
* Add your translations to the folder called `ko` inside the [source folder](https://github.com/huggingface/transformers/tree/main/docs/source).
* Register your translation in `ko/_toctree.yml`; please follow the order of the [English version](https://github.com/huggingface/transformers/blob/main/docs/source/en/_toctree.yml).
* Once you're finished, open a pull request and tag this issue by including #issue-number in the description, where issue-number is the number of this issue. Please ping @ArthurZucker, @sgugger and @eunseojo for review.
* 🙋 If you'd like others to help you with the translation, you can also post in the 🤗 [forums](https://discuss.huggingface.co/).
* With the [HuggingFace Documentation l10n](https://pseudo-lab.com/HuggingFace-0558662add4949558f6b4c4d526547da) initiative of [Pseudo Lab](https://pseudo-lab.com/), full translation will be done even faster. 🎉 Please give us your support! Cheers to our team 👍@0525hhgus, @KIHOON71, @gabrielwithappy, @jungnerd, @sim-so, @HanNayeoniee, @wonhyeongseo

안녕하세요!

한국어를 사용하는 모두가 기술 문서를 읽을 수 있게 해보아요 🌏 (현재 77개 문서 중 9개 완료)

번역에 참여하고 싶으신가요? 🤗 [번역 가이드](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md)를 먼저 읽어보시기 바랍니다. 끝 부분에 번역해야할 파일들이 나열되어 있습니다. 작업하고 계신 파일이 있다면 여기에 간단히 알려주세요. 중복되지 않도록 `작업중`으로 표시해둘게요.

참고 사항:
* 기술 문서이지만 (친구에게 설명 듣듯이) 쉽게 읽히면 좋겠습니다. __존댓말__ 로 써주시면 감사하겠습니다.
* 성별은 일부 언어(스페인어, 프랑스어 등)에만 적용되는 사항으로, 한국어의 경우 번역기를 사용하신 후 문장 기호와 조사 등이 알맞는지 확인해주시기 바랍니다.
* [소스 폴더](https://github.com/huggingface/transformers/tree/main/docs/source) 아래 `ko` 폴더에 번역본을 넣어주세요.
* 목차(`ko/_toctree.yml`)도 함께 업데이트해주세요. [영어 목차](https://github.com/huggingface/transformers/blob/main/docs/source/en/_toctree.yml)와 순서가 동일해야 합니다.
* 모두 마치셨다면, 기록이 원활하도록 PR을 여실 때 현재 이슈(`#20179`)를 내용에 넣어주시기 바랍니다. 리뷰 요청은 @ArthurZucker님, @sgugger님, @eunseojo님께 요청해주세요.
*  🙋 커뮤니티에 마음껏 홍보해주시기 바랍니다! 🤗 [포럼](https://discuss.huggingface.co/)에 올리셔도 좋아요.
* [가짜연구소](https://pseudo-lab.com/)의 [이니셔티브](https://pseudo-lab.com/HuggingFace-0558662add4949558f6b4c4d526547da)로 번역이 더욱 빠르게 진행될 예정입니다. 🎉 많은 응원 부탁드려요! 우리팀 화이팅 👍 
  @0525hhgus, @KIHOON71, @gabrielwithappy, @jungnerd, @sim-so, @HanNayeoniee, @wonhyeongseo

## GET STARTED

- [x] 🤗 Transformers https://github.com/huggingface/transformers/pull/20180
- [x] Quick tour https://github.com/huggingface/transformers/pull/20946
- [x] Installation https://github.com/huggingface/transformers/pull/20948

## TUTORIAL
- [x] Pipelines for inference https://github.com/huggingface/transformers/pull/22508
- [x] Load pretrained instances with an AutoClass https://github.com/huggingface/transformers/pull/22533
- [x] Preprocess https://github.com/huggingface/transformers/pull/22578
- [x] Fine-tune a pretrained model https://github.com/huggingface/transformers/pull/22670
- [x] Train with a script https://github.com/huggingface/transformers/pull/22793
- [x] Distributed training with 🤗 Accelerate https://github.com/huggingface/transformers/pull/22830
- [x] Load and train adapters with 🤗 PEFT https://github.com/huggingface/transformers/pull/25706
- [x] Share a model
- [x] Agents https://github.com/huggingface/transformers/pull/24881
- [x] Generation with LLMs https://github.com/huggingface/transformers/pull/25791

## TASK GUIDES

### NATURAL LANGUAGE PROCESSING
- [x] Text classification https://github.com/huggingface/transformers/pull/22655
- [x] Token classification https://github.com/huggingface/transformers/pull/22945
- [x] Question answering
- [x] Causal language modeling
- [x] Masked language modeling https://github.com/huggingface/transformers/pull/22838
- [x] Translation https://github.com/huggingface/transformers/pull/22805
- [x] Summarization https://github.com/huggingface/transformers/pull/22783
- [x] Multiple choice

### AUDIO
- [x] Audio classification https://github.com/huggingface/transformers/pull/26200
- [x] Automatic speech recognition

### COMPUTER VISION
- [x] Image classification
- [x] Semantic segmentation https://github.com/huggingface/transformers/pull/26515
- [x] Video classification
- [x] Object detection
- [x] Zero-shot object detection
- [x] Zero-shot image classification
- [x] Depth estimation

### MULTIMODAL
- [x] Image captioning
- [x] Document Question Answering
- [x] Visual Question Answering https://github.com/huggingface/transformers/pull/25679
- [ ] Text to speech

### GENERATION
- [ ] Customize the generation strategy

## DEVELOPER GUIDES
- [x] Use tokenizers from 🤗 Tokenizers https://github.com/huggingface/transformers/pull/22956
- [x] Inference for multilingual models
- [x] Create a custom architecture https://github.com/huggingface/transformers/pull/22754
- [x] Sharing custom models https://github.com/huggingface/transformers/pull/22534
- [x] Run training on Amazon SageMaker https://github.com/huggingface/transformers/pull/22509
- [x] Export to ONNX https://github.com/huggingface/transformers/pull/22806
- [x] Export to TFLite
- [x] Export to TorchScript
- [ ] Benchmarks
- [ ] Notebooks with examples
- [x] Community resources https://github.com/huggingface/transformers/pull/25674
- [x] Custom Tools and Prompts
- [x] Troubleshoot

## PERFORMANCE AND SCALABILITY
- [x] Overview

### EFFICIENT TRAINING TECHNIQUES
- [ ] Training on one GPU https://github.com/huggingface/transformers/pull/25250
- [x] Training on many GPUs https://github.com/huggingface/transformers/pull/26244
- [x] Training on CPU https://github.com/huggingface/transformers/pull/24911
- [x] Training on many CPUs https://github.com/huggingface/transformers/pull/24923
- [ ] Training on TPUs
- [x] Training on TPU with TensorFlow
- [ ] Training on Specialized Hardware
- [x] Custom hardware for training https://github.com/huggingface/transformers/pull/24966
- [x] Hyperparameter Search using Trainer API

### OPTIMIZING INFERENCE
- [x] Inference on CPU https://github.com/huggingface/transformers/pull/24920
- [x] Inference on one GPU https://github.com/huggingface/transformers/pull/24978
- [x] Inference on many GPUs https://github.com/huggingface/transformers/pull/24943
- [ ] Inference on Specialized Hardware
- [x] Instantiating a big model https://github.com/huggingface/transformers/pull/26245
- [x] Debugging https://github.com/huggingface/transformers/pull/26246
- [x] XLA Integration for TensorFlow Models https://github.com/huggingface/transformers/pull/24904
- [ ] Optimize inference using `torch.compile`

### CONTRIBUTE
- [x] How to contribute to transformers? https://github.com/huggingface/transformers/pull/25877
- [x] How to add a model to 🤗 Transformers? https://github.com/huggingface/transformers/pull/24957
- [x] How to convert a 🤗 Transformers model to TensorFlow? https://github.com/huggingface/transformers/pull/25017
- [x] How to add a pipeline to 🤗 Transformers? https://github.com/huggingface/transformers/pull/25498
- [x] Testing https://github.com/huggingface/transformers/pull/24900
- [ ] Checks on a Pull Request

### CONCEPTUAL GUIDES
- [x] Philosophy https://github.com/huggingface/transformers/pull/25010
- [ ] Glossary
- [x] What 🤗 Transformers can do
- [x] How 🤗 Transformers solve tasks https://github.com/huggingface/transformers/pull/23844
- [x] The Transformer model family https://github.com/huggingface/transformers/pull/24625
- [x] Summary of the tokenizers https://github.com/huggingface/transformers/pull/26243
- [x] Attention mechanisms
- [x] Padding and truncation https://github.com/huggingface/transformers/pull/23823
- [x] BERTology https://github.com/huggingface/transformers/pull/23968
- [x] Perplexity of fixed-length models https://github.com/huggingface/transformers/pull/23850
- [x] Pipelines for webserver inference https://github.com/huggingface/transformers/pull/24828
- [x] Model training anatomy https://github.com/huggingface/transformers/pull/25755

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## Other relevant PRs along the way

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- Enable easy Table of Contents editing https://github.com/huggingface/transformers/pull/22581
- Added forgotten internal English anchors for `sagemaker.mdx` https://github.com/huggingface/transformers/pull/22549
- Fixed anchor links for `auto_class`, `training` https://github.com/huggingface/transformers/pull/22796
- Update ToC from upstream https://github.com/huggingface/transformers/pull/23112

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