How to use


tokenizer = AutoTokenizer.from_pretrained("hadiaskari98/Vulnerability_NER_prod")
model = AutoModelForTokenClassification.from_pretrained("hadiaskari98/Vulnerability_NER_prod")

nlp = pipeline("ner", model=model, tokenizer=tokenizer)

example = "This is an example of a SQL Injection attack"

ner_results = nlp(example)
print(ner_results)

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Safetensors

Model size

0.3B params

Tensor type

F32

Model tree for hadiaskari98/Vulnerability_NER_prod

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