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")