GLiNER2 How to use mircq/GLINER-INT8 with GLiNER2:
from gliner2 import GLiNER2
model = GLiNER2.from_pretrained("mircq/GLINER-INT8")
# Extract entities
text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
result = extractor.extract_entities(text, ["company", "person", "product", "location"])
print(result) 
