GLiNER2 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) 
