Model Selection

Multilingual PII Recognition

# Multilingual PII Recognition

Llama Ai4privacy Multilingual Anonymiser Openpii

Multilingual PII anonymization model based on ModernBERT architecture, supporting personal identity information recognition and masking in 8 languages

Sequence Labeling

Transformers Supports Multiple Languages

Gliner Multi Pii Domains V1

GLiNER is a Named Entity Recognition (NER) model capable of identifying any type of entity through a bidirectional Transformer encoder, particularly suitable for Personal Identifiable Information (PII) recognition.

Sequence Labeling

Safetensors Supports Multiple Languages

Distilbert Base Multilingual Cased Pii

A multilingual PII recognition model fine-tuned based on distilbert-base-multilingual-cased, used to identify personally identifiable information in text.

Sequence Labeling

Gliner Multi Pii V1

GLiNER is a Named Entity Recognition (NER) model capable of identifying various types of Personally Identifiable Information (PII).

Sequence Labeling Supports Multiple Languages

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