GLiNER2
Safetensors
Basque
Spanish
French
extractor
named-entity-recognition
ner
basque
euskara
pii
privacy
information-extraction
education
Eval Results (legacy)
Instructions to use tknika/gliner2-PII-basque-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use tknika/gliner2-PII-basque-v2 with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("tknika/gliner2-PII-basque-v2") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
Commit History
16 days ago
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Relicense to CC BY-NC-SA 4.0 (BasqueGLUE NERC); report test-split and held-out-template results
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22 days ago
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