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")

Downloads last month: 94

Inference Examples

Text2Text Generation

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.