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)
- Downloads last month
- 19
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for hadiaskari98/Vulnerability_NER_prod
Base model
google-bert/bert-large-cased