enosislabs/matex-privacy-sentinel-dataset
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How to use enosislabs/matex-privacy-sentinel-v0.15 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="enosislabs/matex-privacy-sentinel-v0.15") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("enosislabs/matex-privacy-sentinel-v0.15", dtype="auto")Fine-tuned checkpoint based on OpenAI Privacy Filter for local privacy/security redaction in MaTE X.
enosislabs/matex-privacy-sentinel-dataset
opf --checkpoint . "DATABASE_URL=postgres://demo_user:demo_pass@db.local/matex"
This is a privacy/security aid, not a compliance guarantee. Run your own canary evaluation before production.
Base model
openai/privacy-filter