Model Card for GLiNER PII GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource constrained scenarios. This model has been trained by fine tuning urchade/gliner multi v2.1 on the urchade/synthetic pii ner mistral v1 dataset. This model is capable of recognizing various types of personally identifiable information (PII), including but not limited to these entity types: person , organization , phone number , address , passport number , email , credit card number , social security number , health insurance id number , date of birth , mobile phone number , bank account number , medication , cpf , driver's license number , tax identification number , medical condition , identity card number , national id number , ip address , email address , iban , credit card expiration date , username , health insurance number , registration number , student id number , insurance number , flight number , landline…
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