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:
- e84a8d3b4384967aa3cd7ac5782eb16c4f56aae0cebfb41d0f13b54e04feef77
- Size of remote file:
- 3.31 kB
- SHA256:
- 88158e183725e2690ac42386595e73e6d1c143d0078cb003e26a2f8b94ac5b4e
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