How to use lmo3/gliner2-large-v1-onnx with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("lmo3/gliner2-large-v1-onnx")
How to use lmo3/gliner2-large-v1-onnx with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("lmo3/gliner2-large-v1-onnx") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
