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