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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 131cfbac9308d66cbab472c8d4288ea38d9bddac5216b525fc705de74cef2cd2
- Size of remote file:
- 5.24 kB
- SHA256:
- ed53390e2e9bd06116a7d07bf8ca01cdc44df36b1c1e6712524e99771d34caad
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