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Jean-Baptiste
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roberta-ticker

Token Classification Transformers PyTorch Safetensors English roberta Inference Endpoints
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Update README.md

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Correcting example

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README.md CHANGED
@@ -29,7 +29,7 @@ model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-t
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  from transformers import pipeline
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- nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True, ignore_labels='O')
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  nlp("I am going to buy 100 shares of cake tomorrow")
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  [{'entity_group': 'TICKER',
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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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  nlp("I am going to buy 100 shares of cake tomorrow")
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  [{'entity_group': 'TICKER',