Instructions to use mahdin70/UnixCoder-VulnCWE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahdin70/UnixCoder-VulnCWE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mahdin70/UnixCoder-VulnCWE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mahdin70/UnixCoder-VulnCWE", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac79d0e171e4ebe04f496778a87e71fdf38e9823bd7be72023698e22a20b2d4b
- Size of remote file:
- 504 MB
- SHA256:
- cdc3635c4f4530fbbbb09018ed88fca421cec340dabb05b62b8b30673a6eb14e
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