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:
- 52ac84604be61221d629f89d1f46dffef16547bbd8f1d8c6910d51010f7e0663
- Size of remote file:
- 1.47 kB
- SHA256:
- 01d7a4486ab5620c34e2d449fe06013d51c7b6a08cdda2d29f9d2e4f4b621c60
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