Instructions to use Zaib/Vulnerability-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaib/Vulnerability-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zaib/Vulnerability-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zaib/Vulnerability-detection") model = AutoModelForSequenceClassification.from_pretrained("Zaib/Vulnerability-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77e384076cc828b8399779aaf8171082ba7665c9d571e4e925718383adb95bdc
- Size of remote file:
- 683 MB
- SHA256:
- b0fa31f0c2f0cbc64695a2ed0482f1b612f10df436113899178eb60b7777617f
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