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Update README.md

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@@ -72,8 +72,9 @@ model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-a
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  pipe = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple") # pass device=0 if using gpu
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  pipe("""The patient reported no recurrence of palpitations at follow-up 6 months after the ablation.""")
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- </span>
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  </div>
 
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  ### Accuracy
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  | Type | Score |
 
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  pipe = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple") # pass device=0 if using gpu
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  pipe("""The patient reported no recurrence of palpitations at follow-up 6 months after the ablation.""")
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+ </span>
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  </div>
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+
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  ### Accuracy
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  | Type | Score |