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Lakshyakh93 Deberta Finetuned Pii Onnx
This is the ONNX-converted version of the lakshyakh93/deberta_finetuned_pii model, designed to identify Personally Identifiable Information (PII) in text.
Downloads 1,817
Release Time : 4/11/2024
Model Overview
This model is based on the DeBERTa architecture and is specifically optimized for detecting Personally Identifiable Information (PII) in text, such as names, addresses, and phone numbers. After conversion to ONNX format, it can run efficiently on platforms that support ONNX.
Model Features
ONNX Format
The model has been converted to ONNX format, enabling efficient operation across multiple platforms and supporting cross-platform deployment.
PII Detection
Specifically optimized for detecting Personally Identifiable Information (PII), ensuring accurate identification of sensitive data in text.
DeBERTa-Based
Utilizes the advanced DeBERTa architecture, offering robust contextual understanding capabilities.
Model Capabilities
Identification of Personally Identifiable Information in text
Sensitive information detection
Named Entity Recognition
Use Cases
Data Privacy Protection
Log Anonymization
Automatically detects and tags Personally Identifiable Information in log files for anonymization.
Enhances data processing security and ensures compliance with privacy protection regulations.
Document Review
Scans document content to identify sensitive information and prevent data leaks.
Automates sensitive information detection, reducing manual review workload.
Compliance Checking
GDPR Compliance
Checks text content for compliance with privacy regulations such as GDPR.
Helps organizations meet data protection regulatory requirements.
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