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

# only for pytorch in transformers
from transformers import BertTokenizerFast, EncoderDecoderModel

tokenizer = BertTokenizerFast.from_pretrained("kykim/bertshared-kor-base")
model = EncoderDecoderModel.from_pretrained("kykim/bertshared-kor-base")