deberta_finetuned_pii Open-source Model - Accurately Identify and Classify PII Information in Unstructured Text

Deberta Finetuned Pii

Developed by lakshyakh93

A fine-tuned model optimized for identifying and classifying Personally Identifiable Information (PII) in unstructured text data.

Sequence Labeling

Transformers

EnglishOpen Source License:MIT #PII Precision Identification #Multi-category Sensitive Information Detection #Privacy Compliance Assurance

Downloads 3,758

Release Time : 4/25/2025

Model Overview

This model accurately identifies multiple PII categories, including account names, credit card numbers, emails, phone numbers, and addresses, ensuring data privacy and compliance.

Model Features

Multi-category PII Identification

Capable of identifying and classifying various PII categories, including account information, banking details, personal information, contact details, etc.

Efficient Detection

Ensures data privacy and compliance by efficiently detecting and classifying sensitive information in documents, emails, and user-generated content.

Advanced Technology

Utilizes cutting-edge PII detection technology to make data processing safer and more reliable.

Model Capabilities

Identify Personally Identifiable Information

Classify sensitive data

Detect PII in unstructured text

Use Cases

Data Privacy & Compliance

Document Sensitive Information Detection

Detect sensitive information in documents, such as credit card numbers, social security numbers, etc.

Ensure documents comply with data privacy regulations.

User-generated Content Moderation

Moderate sensitive information in user-generated content, such as emails, phone numbers, etc.

Protect user privacy and prevent data breaches.

Financial Security

Transaction Record Analysis

Analyze sensitive data in transaction records, such as account information, transaction amounts, etc.

Prevent financial fraud and ensure transaction security.

Property	Details
Account-related information	Account name, account number, and transaction amounts
Banking details	BIC, IBAN, and Bitcoin or Ethereum addresses
Personal information	Full name, first name, middle name, last name, gender, and date of birth
Contact information	Email, phone number, and street address (including building number, city, county, state, and zip code)
Job-related data	Job title, job area, job descriptor, and job type
Financial data	Credit card number, issuer, CVV, and currency information (code, name, and symbol)
Digital identifiers	IP addresses (IPv4 and IPv6), MAC addresses, and user agents
Online presence	URL, usernames, and passwords
Other sensitive data	SSN, vehicle VIN and VRM, phone IMEI, and nearby GPS coordinates

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Deberta Finetuned Pii

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 PII Identifier Model

🚀 Quick Start

✨ Features

💻 Usage Examples

Basic Usage

📄 License