barflyman/xlm-roberta-pii-ner-4lang

Multilingual PII NER

A multilingual transformer model (xlm-roberta-base) fine-tuned for Named Entity Recognition (NER) to detect and mask Personally Identifiable Information (PII) in text across English, German, Italian, and French. Model Description

Architecture: XLM-RoBERTa Base
Task: Named Entity Recognition (NER) for PII detection and masking
Languages: English, German, Italian, French
Training Data: ai4privacy/open-pii-masking-500k-ai4privacy (CoNLL format)
License: MIT

Intended Uses & Limitations

Intended use: Detect and mask PII entities in multilingual text for privacy-preserving applications.
Not suitable for: Use cases requiring perfect recall/precision on rare or ambiguous PII types without further fine-tuning.