kykim/bertshared-kor-base

70GB Korean text dataset and 42000 lower-cased subwords are used . Check the model performance and other language models for Korean in GitHub in transformers . The model is based on BertTokenizerFast, EncoderDecoderModel.from_pretrained("kykim/bertshared-kor-base") and a language model for other languages. The model was created using the Bert base model for Korean. It is now available to download and use in the next generation of Pytorch.pytorch, or use the model to test your knowledge of the model’s performance and language models in the latest Python Python version of the language. Pytor,