How to use taeminlee/gliner_ko with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("taeminlee/gliner_ko") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"])
secsilm 
HWkim