thomasbeste/danish-ner

Danish NER XLM-RoBERTa (v8)

State-of-the-art Named Entity Recognition model for Danish, fine-tuned from XLM-RoBERTa.

Updated 2026-02-03: Now v8 with 91.02% F1 (previously 84.6%)

Performance

Benchmark	F1 Score
DaNE (validation)	91.02%
Previous version	84.6%
nbailab baseline	87.09%

Quick Start

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