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:
- d97e7cb9176824ed40ed3681300eb1f7ecdfd83ec637fde2358e4e4b81fcb3bc
- Size of remote file:
- 5.78 kB
- SHA256:
- 6eb85eb718e835a70af2767820254782432279c0d0625995a842ad21f13fca44
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