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molise-ai/pii-detector-ai4privacy
pii-detector-ai4privacy is a token classification model from molise-ai. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
This repository contains the code produced by the Molise.ai team in the Neural Wave Hackathon 2024 competition in Lugano.
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From the Hugging Face model README
This repository contains the code produced by the Molise.ai team in the Neural Wave Hackathon 2024 competition in
Lugano.
Here is a brief explanation of the challenge: The challenge was proposed by Ai4Privacy, a company that builds global solutions that enhance privacy protections
in the rapidly evolving world of Artificial Intelligence. The challenge goal is to create a machine learning model capable of detecting and masking PII (Personal Identifiable Information) in text data across several languages and locales. The task requires working with a synthetic dataset to train models that can automatically identify and redact 17 types of PII in natural language texts. The solution should aim for high accuracy while maintaining the usability of the underlying data. The final solution could be integrated into various systems and enhance privacy protections across industries, including client support, legal, and general data anonymization tools. Success in this project will contribute to scaling privacy-conscious AI systems without compromising the UX or operational performance.
The publisher of this repository is not affiliated with Ai4Privacy and Ai Suisse SA.