!pip install gliner
from gliner import GLiNER
Load model directly from Hugging Face
model = GLiNER.from_pretrained("selfconstruct3d/AITSecNER", load_tokenizer=True)
text = """ Upon opening Emotet maldocs , victims are greeted with fake Microsoft 365 prompt that states “ THIS DOCUMENT IS PROTECTED , ” and instructs victims on how to enable macros . """
Labels for entity prediction
labels = ['CLICommand/CodeSnippet','CON','DATE','GROUP','LOC','MALWARE','ORG','SECTOR','TACTIC','TECHNIQUE','TOOL']
Perform entity prediction
entities = model.predict_entities(text, labels, threshold=0.5)
Display predicted entities and their labels
for entity in entities: print(entity["text"], "=>", entity["label"])