---
license: cc-by-2.0
language:
- ko
- en
pipeline_tag: text2text-generation
---

# 사용법
## 1. 기본 모델
```
from transformers import AutoModelForSeq2SeqLM,AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    use_auth_token=<개인 읽기전용 토큰>
)
model = AutoModelForSeq2SeqLM.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    use_auth_token=<개인 읽기전용 토큰>
)

```

## 2. 조정학습 모델
요약(summarization)
```
from transformers import AutoModelForSeq2SeqLM,AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    revision="summarization",
    use_auth_token=<개인 읽기전용 토큰>
)
model = AutoModelForSeq2SeqLM.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    revision="summarization",
    use_auth_token=<개인 읽기전용 토큰>
)
```


바꿔쓰기(paraphrase generation)
```
from transformers import AutoModelForSeq2SeqLM,AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    revision="paraphrase",
    use_auth_token=<개인 읽기전용 토큰>
)
model = AutoModelForSeq2SeqLM.from_pretrained(
    "wisenut-nlp-team/KoT5", 
    revision="paraphrase",
    use_auth_token=<개인 읽기전용 토큰>
)
```