update readme

README.md

@@ -9,7 +9,7 @@ widget:
 - text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
 ---
 
-# nlp-waseda/roberta-base-japanese
+# nlp-waseda/roberta-base-japanese-with-auto-jumanpp
 
 ## Model description
 
@@ -20,8 +20,8 @@ This is a Japanese RoBERTa base model pretrained on Japanese Wikipedia and the J
 You can use this model for masked language modeling as follows:
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
-tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese")
-model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese")
+tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
+model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
 
 sentence = '早稲田 大学 で 自然 言語 処理 を [MASK] する 。' # input should be segmented into words by Juman++ in advance
 encoding = tokenizer(sentence, return_tensors='pt')