README.md

---
language: ja
tags:
- exbert
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
---

# nlp-waseda/roberta-base-japanese

## Model description

This is a Japanese RoBERTa model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.

## How to use

```python
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese")
model=AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese")
```

## Tokenization

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).

## Vocabulary

## Training procedure