Text Classification
GLiNER2
Safetensors
English
decision-model
calibration
selective-prediction
conformal-prediction
abstention
risk-aware
security
cybersecurity
security-operations
soc
pentest
red-team
blue-team
Eval Results (legacy)
Instructions to use TyrusRC/haruspex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use TyrusRC/haruspex with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("TyrusRC/haruspex") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
Download network/calibrator.json from TyrusRC/haruspex: direct link, hf CLI and curl.
- Browser
- Download file 98 Bytes
-
https://huggingface.co/TyrusRC/haruspex/resolve/main/network/calibrator.json
- Command line
-
hf download hf://TyrusRC/haruspex/network/calibrator.json
-
curl -L -o calibrator.json https://huggingface.co/TyrusRC/haruspex/resolve/main/network/calibrator.json
98 Bytes
| { | |
| "threshold": 1.0, | |
| "target_risk": 0.2, | |
| "achieved_risk": 0.0, | |
| "coverage": 1.0, | |
| "n": 44 | |
| } |