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gliner-PII

GLiNER-PII is inspired by the Gretel GLiNER PII/PHI models. Built on the GLiNER large-v2.1 base, it detects and classifies a broad range of Personally Identifiable Information (PII) and Protected Health Information (PHI) in structured and unstructured text. It is non-generative and produces span-level entity annotations with confidence scores across 55+ categories. This model was developed by NVIDIA. GLiNER-PII supports detection and redaction of sensitive information across regulated and enterprise scenarios. Note: performance varies by domain, format, and threshold, so validation and human review are recommended for high‑stakes deployments.

GLiNER-PII is inspired by the Gretel GLiNER PII/PHI models. Built on the GLiNER large-v2.1 base, it detects and classifies a broad range of Personally Identifiable Information (PII) and Protected Health Information (PHI) in structured and unstructured text. It is non-generative and produces span-level entity annotations with confidence scores across 55+ categories. This model was developed by NVIDIA. GLiNER-PII supports detection and redaction of sensitive information across regulated and enterprise scenarios. Note: performance varies by domain, format, and threshold, so validation and human review are recommended for high‑stakes deployments.

Sources

huggingface.co ↗