medieval-latin-ner

from transformers import pipeline

ner_pipeline = pipeline(
    "ner", 
    model="ERCDiDip/medieval-latin-ner", 
    aggregation_strategy="simple"
)

text = "Jacobus filius Nicolai de villa Sancta Maria dedit unam marcam."
results = ner_pipeline(text)

for entity in results:
    print(f"{entity['entity_group']}: {entity['word']} ({entity['score']:.2f})")