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bart-ko-small

Text2Text Generation

Inference Endpoints

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	---
	language: ko
	---

	# Pretrained BART in Korean

	This is pretrained BART model with multiple Korean Datasets.

	I used multiple datasets for generalizing the model for both colloquial and written texts.

	The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.

	The script which is used to pre-train model is [here](https://github.com/cosmoquester/transformers-bart-pretrain).

	When you use the reference API, you must wrap the sentence with `[BOS]` and `[EOS]` like below example.

	```
	[BOS] 안녕하세요? 반가워요~~ [EOS]
	```

	## Used Datasets

	### [모두의 말뭉치](https://corpus.korean.go.kr/)
	- 일상 대화 말뭉치 2020
	- 구어 말뭉치
	- 문어 말뭉치
	- 신문 말뭉치

	### AIhub
	- [개방데이터 전문분야말뭉치](https://aihub.or.kr/aidata/30717)
	- [개방데이터 한국어대화요약](https://aihub.or.kr/aidata/30714)
	- [개방데이터 감성 대화 말뭉치](https://aihub.or.kr/aidata/7978)
	- [개방데이터 한국어 음성](https://aihub.or.kr/aidata/105)
	- [개방데이터 한국어 SNS](https://aihub.or.kr/aidata/30718)

	### [세종 말뭉치](https://ithub.korean.go.kr/)