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:
- 54deffdd4388c6078be9790a48490c0d1658988e3bf0cc254830b46418586388
- Size of remote file:
- 14.6 kB
- SHA256:
- b57acd7a9ce0819d40d37336a3c87a410150f14f935714fed64550202efa5003
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