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:
- 3aed4d6084f36a309aeccfb0fc5878af21eeb96d51c691faebad7805076340e5
- Size of remote file:
- 14.6 kB
- SHA256:
- ae074b64b04f15c65bed20fbc593949760914672b525152439949dbdeac14c41
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