Created README.md.

README.md

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+---
+language: ja
+tags:
+- exbert
+license: cc-by-sa-4.0
+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