Create README.md

README.md

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+!pip install 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"])