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Update README.md

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@@ -22,7 +22,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- '''
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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  from transformers import pipeline
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@@ -37,8 +37,7 @@ print(ner_results)
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  [{'entity_group': 'PER', 'score': 0.99686015, 'word': ' Tao Jin', 'start': 11, 'end': 18}, {'entity_group': 'LOC', 'score': 0.9996836, 'word': ' Canada', 'start': 31, 'end': 37}]
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-
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- '''
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  ## Intended uses & limitations
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  ## Model description
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+ ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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  from transformers import pipeline
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  [{'entity_group': 'PER', 'score': 0.99686015, 'word': ' Tao Jin', 'start': 11, 'end': 18}, {'entity_group': 'LOC', 'score': 0.9996836, 'word': ' Canada', 'start': 31, 'end': 37}]
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+ ```
 
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  ## Intended uses & limitations
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