GLiNER How to use rafmacalaba/gliner_datause_extended with GLiNER:
from gliner import GLiNER
model = GLiNER.from_pretrained("rafmacalaba/gliner_datause_extended")
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"]) 
