Token Classification
Transformers
Safetensors
privacy_filter
privacy
pii
secrets
code-security
matex
Instructions to use enosislabs/matex-privacy-sentinel-v0.15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "category_version": "matex_privacy_sentinel_v0_1", | |
| "span_class_names": [ | |
| "O", | |
| "account_number", | |
| "private_address", | |
| "private_email", | |
| "private_person", | |
| "private_phone", | |
| "private_url", | |
| "private_date", | |
| "secret", | |
| "api_key", | |
| "auth_token", | |
| "session_cookie", | |
| "database_uri", | |
| "cloud_credential", | |
| "private_file_path", | |
| "internal_url", | |
| "workspace_identity", | |
| "customer_data", | |
| "prompt_sensitive", | |
| "agent_memory_sensitive", | |
| "stacktrace_sensitive", | |
| "repo_secret", | |
| "payment_token", | |
| "personal_document_id", | |
| "terminal_log" | |
| ] | |
| } | |