GLiNER2 PII: Multilingual PII Detection & Masking GLiNER2 PII is a fine tune of the GLiNER2 model (205M parameters) for detecting and masking personally identifiable information across 42 entity types and 7 languages . Trained entirely on a constraint driven synthetic corpus of 4,910 annotated texts, it achieves the highest span level F1 (0.477) on the SPY benchmark among four compared systems — including OpenAI Privacy Filter, NVIDIA GLiNER PII, and urchade/gliner\ multi\ pii v1. 📄 Technical Report 🔗 GitHub Quick Start You can pass any subset of the 42 supported labels — the model conditions on the labels you provide at inference time. Supported PII Labels (42 types) Group Labels Person / names person , full name , first name , middle name , last name , date of birth Contact / address email , phone number , address , street address , city , state or region , postal code , country Government / tax IDs government id , national id number , passport number , drivers license number , license number , tax id , tax number Banking / payment bank account , account number , routing number , iban , payment card , card number , card expiry , card cvv Digital identity username , ip address ,…
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