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language: ko |
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# Bert base model for Korean |
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* 70GB Korean text dataset and 42000 lower-cased subwords are used |
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* Check the model performance and other language models for Korean in [github](https://github.com/kiyoungkim1/LM-kor) |
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```python |
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from transformers import BertTokenizerFast, GPT2LMHeadModel |
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tokenizer_gpt3 = BertTokenizerFast.from_pretrained("kykim/gpt3-kor-small_based_on_gpt2") |
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input_ids = tokenizer_gpt3.encode("text to tokenize")[1:] # remove cls token |
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model_gpt3 = GPT2LMHeadModel.from_pretrained("kykim/gpt3-kor-small_based_on_gpt2") |
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``` |
