readme: ---
  language: ko
  tags:
  - text-generation
  ---
  
  # 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](https://github.com/kiyoungkim1/LM-kor)
  
  ```python
  from transformers import BertTokenizerFast, GPT2LMHeadModel
  tokenizer_gpt3 = BertTokenizerFast.from_pretrained("kykim/gpt3-kor-small_based_on_gpt2")
  input_ids = tokenizer_gpt3.encode("text to tokenize")[1:]  # remove cls token
          
  model_gpt3 = GPT2LMHeadModel.from_pretrained("kykim/gpt3-kor-small_based_on_gpt2")
  ```