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Update README.md

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@@ -19,7 +19,7 @@ widget:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # xlm-roberta-ner-ja
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  (Japanese caption : 日本語の固有表現抽出のモデル)
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@@ -47,7 +47,7 @@ Each token is labeled by :
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  ```python
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  from transformers import pipeline
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- model_name = "tsmatz/xlm-roberta-ner-ja"
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  classifier = pipeline("token-classification", model=model_name)
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  result = classifier("鈴木は4月の陽気の良い日に、鈴をつけて熊本県の阿蘇山に登った")
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  print(result)
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # xlm-roberta-ner-japanese
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  (Japanese caption : 日本語の固有表現抽出のモデル)
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  ```python
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  from transformers import pipeline
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+ model_name = "tsmatz/xlm-roberta-ner-japanese"
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  classifier = pipeline("token-classification", model=model_name)
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  result = classifier("鈴木は4月の陽気の良い日に、鈴をつけて熊本県の阿蘇山に登った")
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  print(result)