How to use hmarchant/gliner2.5-decide-person-resolution with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("hmarchant/gliner2.5-decide-person-resolution") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
