Tunisian Named Entity Recognition for French text using CamemBERT
Project description
tunisian-ner
Tunisian Named Entity Recognition for French text using CamemBERT.
Detects 3 entity types:
- PER — person names
- LOC — cities and regions
- ORG — organizations
Installation
pip install tunisian-ner
Usage
from tunisian_ner import NER
ner = NER() results = ner("Ahmed Karray dirige la STEG à Tunis.") print(results)
→ [{"word": "Ahmed Karray", "entity_group": "PER", "score": 0.97},
{"word": "STEG", "entity_group": "ORG", "score": 0.95},
{"word": "Tunis", "entity_group": "LOC", "score": 0.98}]
Model
Fine-tuned CamemBERT on Tunisian French text. HuggingFace: NourBesrour/tun-ner-camembert
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