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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.

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