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:
- b6192897d8bea4a89f5ad0973670bf08152111caffb792dcd89b26c784b4cd3d
- Size of remote file:
- 5.78 kB
- SHA256:
- e47ae34a1d4d2519557fa72058151dfc9e94761396fa45ac68af2b6afed4e551
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