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"])
https://huggingface.co/rafmacalaba/gliner_datause_extended/resolve/main/tokenizer.json
hf download hf://rafmacalaba/gliner_datause_extended/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/rafmacalaba/gliner_datause_extended/resolve/main/tokenizer.json
