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)
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{ "threshold": 0.999998, "target_risk": 0.2, "achieved_risk": 0.007752, "coverage": 1.0, "n": 129 }
