Instructions to use DeTars/DeTars-PII-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use DeTars/DeTars-PII-v1 with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("DeTars/DeTars-PII-v1") # 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
Today
-
docs: per-language leaderboard (26 languages, lowest leak and highest strict F1 in each)
Verified signatured9905d8 -
docs: model card wording accuracy (Han-route note, operating-curve footnote, company-category wording, drop URL claim)
Verified signature4552d8d -
Model card: public PR-style README and full English EVALUATION.md (weights unchanged)
Verified signatureed87f2f -
Release DeTars PII composite bundle 3.1 (detars-pii-v3.1-rt6, private)
Verified signature121f3ec
Yesterday
-
Release DeTars PII v3 rt6 bundle (private)
Verified signature68cc670 -
Declare v3 LFS binary patterns
Verified signatureb0f2f35 -
initial commit
Verified signaturee6da9b4