Instructions to use vinh204/vulnscope-unixcoder-devign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinh204/vulnscope-unixcoder-devign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vinh204/vulnscope-unixcoder-devign")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vinh204/vulnscope-unixcoder-devign", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from vinh204/vulnscope-unixcoder-devign: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/vinh204/vulnscope-unixcoder-devign/resolve/main/model.bin
- Command line
-
hf download hf://vinh204/vulnscope-unixcoder-devign/model.bin
-
curl -L -o model.bin https://huggingface.co/vinh204/vulnscope-unixcoder-devign/resolve/main/model.bin
504 MB
- Xet hash:
- fe526543bc08fc38b7abe6a5d56926b9b4b1f69aa3eff73b6cd7ae8af0a9b3db
- Size of remote file:
- 504 MB
- SHA256:
- 6c3c5543ad149b270dc2bd45d992a94598744cb082e68fa97d144f5a95eb11b2
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