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:
- 05f7a45abbe79101f979c950839aa255641cb1f77c18fa43f1e5f2346009d5e0
- Size of remote file:
- 1.47 kB
- SHA256:
- 31de19de734a55e97e8568f4c3138a9a71ff7211dda32f22d92a5d16c71d9fe6
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