Francesco Paolo Passaro
Initial PrivacyGuardML checkpoint (16 categories, 39 languages)
3f922e0 verified Download MODEL_INFO.txt from digitalsolutionsai/PrivacyGuardML: direct link, hf CLI and curl.
- Browser
- Download file 591 Bytes
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https://huggingface.co/digitalsolutionsai/PrivacyGuardML/resolve/main/MODEL_INFO.txt
- Command line
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hf download hf://digitalsolutionsai/PrivacyGuardML/MODEL_INFO.txt
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curl -L -o MODEL_INFO.txt https://huggingface.co/digitalsolutionsai/PrivacyGuardML/resolve/main/MODEL_INFO.txt
591 Bytes
| PrivacyGuardML model file | |
| ========================== | |
| Generated by Synthelion's own training pipeline: | |
| devtools/train_privacyguardml.py | |
| Training data: synthetic PII values (generated from Synthelion's own | |
| checksum validators in synthelion/privacy_validators.py and rule | |
| patterns in synthelion/privacy_rules.yaml) inserted into real | |
| multilingual carrier sentences (39 languages, Wikipedia corpora). | |
| Architecture: own transformer encoder, BIO tagging head. | |
| Runtime: fully offline, CPU-only. This is the only privacy.use_ml | |
| backend PrivacyGuard supports — no third-party model. | |