Instructions to use wwookk/web_lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wwookk/web_lang with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CodeBERTForVulnerabilityDetectionWithFeatures model = CodeBERTForVulnerabilityDetectionWithFeatures.from_pretrained("wwookk/web_lang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wwookk/web_lang: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/wwookk/web_lang/resolve/main/training_args.bin
- Command line
-
hf download hf://wwookk/web_lang/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wwookk/web_lang/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 90cf8734b704c810bb293ba3ce34e56332739712776426a9900572e3ac8124d7
- Size of remote file:
- 5.05 kB
- SHA256:
- 41dd377079db2bb5319531916f5985e2f6d42d7d70265ab3bb800398e5955fc2
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