BERT base Japanese (character-level tokenization with whole word masking, jawiki-20200831)

This pretrained model is almost the same as cl-tohoku/bert-base-japanese-char-v2 but do not need fugashi or unidic_lite. The only difference is in word_tokenzer_type property (specify basic instead of mecab) in tokenizer_config.json.

Downloads last month
38
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train hiroshi-matsuda-rit/bert-base-japanese-basic-char-v2