Instructions to use wwookk/slice_code_feature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wwookk/slice_code_feature with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CodeBERTForVulnerabilityDetectionWithFeatures model = CodeBERTForVulnerabilityDetectionWithFeatures.from_pretrained("wwookk/slice_code_feature", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from wwookk/slice_code_feature: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/wwookk/slice_code_feature/resolve/main/model.safetensors
- Command line
-
hf download hf://wwookk/slice_code_feature/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/wwookk/slice_code_feature/resolve/main/model.safetensors
499 MB
- Xet hash:
- d887c50fcfaa0c1a813b270346c1553ad2e8fcf00ba1a4727d90af18969bff29
- Size of remote file:
- 499 MB
- SHA256:
- dbbf300cd17633fc981806f3e2cef3d43f5633cc12517bd6d334da9ff2dc3682
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