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:
- a61a1be58aa84b996e36cfb644bc3387c8387c511d455c1dae83d07be2eda0bc
- Size of remote file:
- 5.78 kB
- SHA256:
- 4a51c9ce1080123075e6ab993dc495e2fe9920836854bf1888707e1cdafdc082
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