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:
- 7d5a916a9df0529fd8d65de18a376b3bc38d8c356bc4bb820002f04cc2f05b51
- Size of remote file:
- 1.98 kB
- SHA256:
- 60841ffcc5186410189e55b9dc7b58e877b18be25b3a78c3cc027fe2452ae2b4
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