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Date: Wed, 9 Oct 2024 09:07:13 +0900
Subject: [PATCH] =?UTF-8?q?=F0=9F=8C=90=20[i18n-KO]=20Translated=20`bertwe?=
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* docs: ko: bertweet.md

* Update _toctree.yml

* fix: manual edits

* Update docs/source/ko/model_doc/bertweet.md

Co-authored-by: HyeokJun SHIN <96534680+jun048098@users.noreply.github.com>

---------

Co-authored-by: HyeokJun SHIN <96534680+jun048098@users.noreply.github.com>
---
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 docs/source/ko/model_doc/bertweet.md | 67 ++++++++++++++++++++++++++++
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diff --git a/docs/source/ko/_toctree.yml b/docs/source/ko/_toctree.yml
index fa6250fae2..2d802c542e 100644
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@@ -328,8 +328,8 @@
         title: (번역중) BertGeneration
       - local: in_translation
         title: (번역중) BertJapanese
-      - local: in_translation
-        title: (번역중) Bertweet
+      - local: model_doc/bertweet
+        title: Bertweet
       - local: in_translation
         title: (번역중) BigBird
       - local: in_translation
@@ -774,4 +774,4 @@
     - local: internal/time_series_utils
       title: 시계열을 위한 유틸리티
     title: (번역중) Internal Helpers
-  title: (번역중) API
\ No newline at end of file
+  title: (번역중) API
diff --git a/docs/source/ko/model_doc/bertweet.md b/docs/source/ko/model_doc/bertweet.md
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+<!--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.
+
+-->
+
+# BERTweet [[bertweet]]
+
+## 개요 [[overview]]
+
+BERTweet 모델은 Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen에 의해 [BERTweet: A pre-trained language model for English Tweets](https://www.aclweb.org/anthology/2020.emnlp-demos.2.pdf) 에서 제안되었습니다.
+
+해당 논문의 초록 :
+
+*영어 트윗을 위한 최초의 공개 대규모 사전 학습된 언어 모델인 BERTweet을 소개합니다. 
+BERTweet은 BERT-base(Devlin et al., 2019)와 동일한 아키텍처를 가지고 있으며, RoBERTa 사전 학습 절차(Liu et al., 2019)를 사용하여 학습되었습니다. 
+실험 결과, BERTweet은 강력한 기준 모델인 RoBERTa-base 및 XLM-R-base(Conneau et al., 2020)의 성능을 능가하여 세 가지 트윗 NLP 작업(품사 태깅, 개체명 인식, 텍스트 분류)에서 이전 최신 모델보다 더 나은 성능을 보여주었습니다.*
+
+이 모델은 [dqnguyen](https://huggingface.co/dqnguyen) 께서 기여하셨습니다. 원본 코드는 [여기](https://github.com/VinAIResearch/BERTweet).에서 확인할 수 있습니다.
+
+
+## 사용 예시 [[usage-example]]
+
+```python
+>>> import torch
+>>> from transformers import AutoModel, AutoTokenizer
+
+>>> bertweet = AutoModel.from_pretrained("vinai/bertweet-base")
+
+>>> # 트랜스포머 버전 4.x 이상 :
+>>> tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base", use_fast=False)
+
+>>> # 트랜스포머 버전 3.x 이상:
+>>> # tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base")
+
+>>> # 입력된 트윗은 이미 정규화되었습니다!
+>>> line = "SC has first two presumptive cases of coronavirus , DHEC confirms HTTPURL via @USER :cry:"
+
+>>> input_ids = torch.tensor([tokenizer.encode(line)])
+
+>>> with torch.no_grad():
+...     features = bertweet(input_ids)  # Models outputs are now tuples
+
+>>> # With TensorFlow 2.0+:
+>>> # from transformers import TFAutoModel
+>>> # bertweet = TFAutoModel.from_pretrained("vinai/bertweet-base")
+```
+
+<Tip> 
+
+이 구현은 토큰화 방법을 제외하고는 BERT와 동일합니다. API 참조 정보는 [BERT 문서](bert) 를 참조하세요.
+
+</Tip>
+
+## Bertweet 토큰화(BertweetTokenizer) [[transformers.BertweetTokenizer]]
+
+[[autodoc]] BertweetTokenizer