Instructions to use mahdin70/GraphCodeBERT-VulnCWE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahdin70/GraphCodeBERT-VulnCWE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mahdin70/GraphCodeBERT-VulnCWE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mahdin70/GraphCodeBERT-VulnCWE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3850456c7e5fec21330b072d85262a14f4ff73c7f2f0358b827fb53223215cbd
- Size of remote file:
- 5.24 kB
- SHA256:
- 297f0f3bbf4f7876bb3e7be416570272ad94c503d8f8ad74bff558615e0f4f13
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