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--- |
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language: |
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- "ja" |
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tags: |
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- "japanese" |
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- "masked-lm" |
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- "wikipedia" |
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license: "cc-by-sa-4.0" |
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pipeline_tag: "fill-mask" |
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mask_token: "[MASK]" |
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widget: |
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- text: "酸素ボンベを充[MASK]する。" |
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--- |
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# bert-large-japanese-char-extended |
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## Model Description |
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This is a BERT model pre-trained on Japanese Wikipedia texts, derived from [bert-large-japanese-char](https://huggingface.co/cl-tohoku/bert-large-japanese-char). Character-embeddings are enhanced to include all 常用漢字/人名用漢字 characters using [BertTokenizerFast](https://huggingface.co/transformers/model_doc/bert.html#berttokenizerfast). You can fine-tune `bert-large-japanese-char-extended` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/bert-large-japanese-upos), dependency-parsing, and so on. |
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## How to Use |
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```py |
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from transformers import AutoTokenizer,AutoModelForMaskedLM |
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-large-japanese-char-extended") |
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model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-large-japanese-char-extended") |
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``` |
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