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README.md
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@@ -355,3 +355,34 @@ End2End scores (answering the question: *given a text, what are the spans **and*
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```
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}
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}
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```
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Usage:
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```python
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> pipe = pipeline("token-classification", model="UMCU/PII_RobBERT", trust_remote_code=True, aggregation_strategy="simple", dtype=torch.float32,)
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> pipe("De patient Henk de Vries is geboren op 12-03-1980 en woont in Amsterdam.")
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> [{'entity_group': 'GIVENNAME',
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'score': np.float32(0.9999993),
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'word': ' Henk',
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'start': 12,
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'end': 15},
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{'entity_group': 'SURNAME',
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'score': np.float32(0.99999994),
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'word': ' de Vries',
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'start': 17,
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'end': 24},
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{'entity_group': 'DATE',
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'score': np.float32(1.0),
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'word': ' 12 - 03 - 1980',
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'start': 40,
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'end': 49},
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{'entity_group': 'CITY',
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'score': np.float32(0.99999917),
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'word': ' Amsterdam',
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'start': 63,
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'end': 71}]
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```
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