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:
- ed412a231f45109521885a1dff10d48ac19425477dd8b9936577472f887014fc
- Size of remote file:
- 4.74 MB
- SHA256:
- a83a52f1a15705e175493b2425539a92f6edb4c30253eadc01cb8a3f3c98b492
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