Bert base model for Korean

  • 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 BertTokenizerFast, BertModel

tokenizer_bert = BertTokenizerFast.from_pretrained("kykim/bert-kor-base")
model_bert = BertModel.from_pretrained("kykim/bert-kor-base")
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