Bert base model for Korean
Update
- Update at 2021.11.17 : Add Native Support for BERT Tokenizer (works with AutoTokenizer, pipeline)
- 70GB Korean text dataset and 42000 lower-cased subwords are used
- Check the model performance and other language models for Korean in github
from transformers import pipeline
pipe = pipeline('text-generation', model='beomi/kykim-gpt3-kor-small_based_on_gpt2')
print(pipe("μλ
νμΈμ! μ€λμ"))
# [{'generated_text': 'μλ
νμΈμ! μ€λμ μ κ° μμ¦ μ¬μ©νκ³ μλ ν΄λ μ§μν°λ₯Ό μκ°ν΄λλ¦¬λ €κ³ ν΄μ! λ°λ‘ μ΄ μ ν!! λ°λ‘ μ΄'}]
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