from transformers import pipeline

ner = pipeline("ner", model="thomasbeste/danish-ner-xlmr-base", aggregation_strategy="simple")
result = ner("Anders Jensen arbejder hos Novo Nordisk i København.")

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

Entity Types

Label	Description	Example
`PER`	Person names	Anders Jensen
`ORG`	Organizations	Novo Nordisk A/S
`LOC`	Locations	København
`MISC`	Miscellaneous	Dansk

Training Data

DaNE (4.4k samples)
WikiANN Danish (20k samples)
NorNE Norwegian (30k samples)
High-quality synthetic data (60k samples)

License

MIT