bug fix

README.md

@@ -29,8 +29,9 @@ from transformers import AutoTokenizer,AutoModelForTokenClassification
 tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-unidic-luw-upos")
 model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-japanese-unidic-luw-upos")
 s="国境の長いトンネルを抜けると雪国であった。"
+t=tokenizer.tokenize(s)
 p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))["logits"],dim=2)[0].tolist()[1:-1]]
-print(list(zip(s,p)))
+print(list(zip(t,p)))
 ```
 
 or
@@ -41,7 +42,7 @@ nlp=esupar.load("KoichiYasuoka/bert-base-japanese-unidic-luw-upos")
 print(nlp("国境の長いトンネルを抜けると雪国であった。"))
 ```
 
-[fugashi](https://pypi.org/project/fugashi) [unidic-lite](https://pypi.org/project/unidic-lite) [pytokenizations](https://pypi.org/project/pytokenizations) are required.
+[fugashi](https://pypi.org/project/fugashi), [unidic-lite](https://pypi.org/project/unidic-lite) and [pytokenizations](https://pypi.org/project/pytokenizations) are required.
 
 ## Reference