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Update README.md

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@@ -133,8 +133,7 @@ tokenizer = AutoTokenizer.from_pretrained("Jzuluaga/bert-base-token-classificati
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  model = AutoModelForTokenClassification.from_pretrained("Jzuluaga/bert-base-token-classification-for-atc-en-uwb-atcc")
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- ##### Process text sample (from wikipedia)
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-
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  from transformers import pipeline
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  nlp = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="simple")
 
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  model = AutoModelForTokenClassification.from_pretrained("Jzuluaga/bert-base-token-classification-for-atc-en-uwb-atcc")
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+ ##### Process text sample (from UWB-ATCC)
 
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  from transformers import pipeline
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  nlp = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="simple")