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@@ -122,15 +122,12 @@ The following hyperparameters were used during training:
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  ## How to Use
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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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- # Load model and tokenizer
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- tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/ModernBERT-base-NER")
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- model = AutoModelForTokenClassification.from_pretrained("MatteoFasulo/ModernBERT-base-NER")
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-
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  # Create NER pipeline
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- ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple")
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  # Example usage
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  text = "Apple Inc. was founded by Steve Jobs in Cupertino, California."
 
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  ## How to Use
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  ```python
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+ import torch
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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  from transformers import pipeline
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  # Create NER pipeline
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+ ner_pipeline = pipeline("token-classification", model="MatteoFasulo/ModernBERT-base-NER", aggregation_strategy="simple", dtype=torch.bfloat16)
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  # Example usage
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  text = "Apple Inc. was founded by Steve Jobs in Cupertino, California."