The ab-ai/PII-Model-Phi3-Mini is a 4 billion parameter Phi3 Mini-based model fine-tuned by ab-ai for comprehensive Personally Identifiable Information (PII) detection. It is designed to identify a wide array of PII entities, including personal, contact, address, financial, and unique identifiers, making it suitable for data redaction, privacy protection, and compliance tasks. This model excels at extracting specific PII from text and returning it in JSON format.
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PII Detection Model - Phi3 Mini Fine-Tuned
This model, developed by ab-ai, is a fine-tuned version of the 4 billion parameter Phi3 Mini specifically engineered for detecting Personally Identifiable Information (PII) in text. It leverages the Hugging Face Transformers framework to identify and extract a broad spectrum of PII entities, making it a robust tool for data privacy and compliance applications.
Key Capabilities
- Extensive PII Detection: Capable of recognizing over 50 distinct PII entities across various categories, including:
- Personal Information:
firstname,lastname,dob,age,gender,sex,height,eyecolor. - Contact & Address:
email,phonenumber,url,street,city,state,zipcode,country. - Financial Data:
accountnumber,creditcardnumber,iban,bic,currency,amount. - Unique Identifiers:
ssn,imei,mac,vehiclevin,pin. - Cryptocurrency:
bitcoinaddress,litecoinaddress,ethereumaddress. - Other:
ip,password,username,useragent.
- Personal Information:
- Structured Output: Designed to return detected PII in a JSON format, facilitating easy integration into automated workflows for data processing and redaction.
Use Cases
- Data Redaction: Automatically identify and mask sensitive information in documents and communications.
- Privacy Protection: Enhance data privacy by detecting and managing PII in datasets.
- Compliance: Assist organizations in adhering to data protection regulations by accurately identifying PII.
- Data Anonymization: Prepare datasets for analysis by removing or anonymizing personal identifiers.