Update README.md

README.md

@@ -18,7 +18,7 @@ You can use this model as follows:
 ```python
 from transformers import XLMRobertaTokenizer, MBartForConditionalGeneration
 tokenizer = XLMRobertaTokenizer.from_pretrained('ku-nlp/bart-v2-large-japanese')
-model = MBartForConditionalGeneration.from_pretrained('ku-nlp/bart-v2-large-japanese/')
+model = MBartForConditionalGeneration.from_pretrained('ku-nlp/bart-v2-large-japanese')
 sentence = '京都 大学 で 自然 言語 処理 を 専攻 する 。'  # input should be segmented into words by Juman++ in advance
 encoding = tokenizer(sentence, return_tensors='pt')
 ...