Zihan1004/FNSPID
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from gliner import GLiNER
# Initialize GLiNER
model = GLiNER.from_pretrained("urchade/gliner_multiv2.1")
text = "This is a text about Bill Gates and Microsoft."
# Labels for entity prediction
labels = ["person", "organization", "email"]
entities = model.predict_entities(text, labels, threshold=0.5)
for entity in entities:
print(entity["text"], "=>", entity["label"])