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wisenut-nlp-team/
KoT5-base

Name: KoT5-base
Availability: InStock

text-generation-inference

endpoints_compatible

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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>
)

wisenut-nlp-team/KoT5-base

사용법

1. 기본 모델

2. 조정학습 모델

wisenut-nlp-team/
KoT5-base