How to use erickdp/gliner2-multi-sentiment-mixed-c13 with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("erickdp/gliner2-multi-sentiment-mixed-c13") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
