Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83b288b54be8012e38e3007449283c87410c8de24a21243fd8bdebe72a0a292d
- Size of remote file:
- 507 MB
- SHA256:
- 335df2fb9c96b5e579051e5a801512ed4e3d23ef053139b2fb42f7445f061aaa
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