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--- |
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language: ja |
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tags: |
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- exbert |
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license: cc-by-sa-4.0 |
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datasets: |
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- wikipedia |
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- cc100 |
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mask_token: "[MASK]" |
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widget: |
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- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。" |
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--- |
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# nlp-waseda/roberta-base-japanese |
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## Model description |
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This is a Japanese RoBERTa model pretrained on Japanese Wikipedia and the Japanese portion of CC-100. |
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## How to use |
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```python |
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from transformers import AutoTokenizer,AutoModelForMaskedLM |
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tokenizer=AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese") |
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model=AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese") |
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``` |
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## Tokenization |
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The input text should be segmented into words by [Juman++](https://github.com/ku-nlp/jumanpp) in advance. Each word is tokenized into subwords by [sentencepiece](https://github.com/google/sentencepiece). |
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## Vocabulary |
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## Training procedure |
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