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dccuchile/bert-base-spanish-wwm-cased| Métrica | Valor |
|---|---|
| F1-score | 96.18% |
| Precision | 95.86% |
| Recall | 96.49% |
| Accuracy | 99.35% |
1from transformers import pipeline
2
3# Cargar modelo
4ner_pipeline = pipeline(
5 "token-classification",
6 model="Lucyan85/beto-ner-prostata",
7 aggregation_strategy="simple"
8)
9
10# Ejemplo
11texto = '''Paciente masculino de 72 años con adenocarcinoma de próstata.
12Gleason 3+3, PSA 9.9 ng/dL.'''
13
14resultados = ner_pipeline(texto)
15for entidad in resultados:
16 print(f"{entidad['entity_group']}: {entidad['word']}")