Update README.md

README.md

@@ -34,7 +34,7 @@ widget:
     - text: "京都大学で自然言語処理を[MASK]する。"
 ---
 
-# Model Card for Japanese DeBERTa V2 base
+# Model Card for Japanese DeBERTa V3 base
 
 ## Model description
 
@@ -46,8 +46,8 @@ You can use this model for masked language modeling as follows:
 
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
-tokenizer = AutoTokenizer.from_pretrained('ku-nlp/deberta-v2-base-japanese')
-model = AutoModelForMaskedLM.from_pretrained('ku-nlp/deberta-v2-base-japanese')
+tokenizer = AutoTokenizer.from_pretrained('ku-nlp/deberta-v3-base-japanese')
+model = AutoModelForMaskedLM.from_pretrained('ku-nlp/deberta-v3-base-japanese')
 
 sentences = [
     "京都大学で自然言語処理を[MASK]する。",