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matex-privacy-sentinel-v0.1
enosislabs/matex-privacy-sentinel-v0.1
matex-privacy-sentinel-v0.1 is a token classification model from enosislabs. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned checkpoint based on OpenAI Privacy Filter for local privacy/security redaction in MaTE X.
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11.2 GB on disk
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- privacy_filter
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- ce75f33a
Try a prompt
Base models
Model card
From the Hugging Face model README
MaTE X Privacy Sentinel v0.1
Fine-tuned checkpoint based on OpenAI Privacy Filter for local privacy/security redaction in MaTE X.
Dataset
enosislabs/matex-privacy-sentinel-dataset
Usage
opf --checkpoint . "DATABASE_URL=postgres://demo_user:[email protected]/matex"
Limitation
This is a privacy/security aid, not a compliance guarantee. Run your own canary evaluation before production.
- Task
- Token Classification
- Library
- transformers
- Type
- privacy_filter
- License
- apache-2.0
- Created
- May 2, 2026
- Updated
- May 2, 2026