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
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for hadiaskari98/Vulnerability_NER_prod
Base model
google-bert/bert-large-cased