Update README.md
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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
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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")
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