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:
- 8becfa1128194d29849d75891d991f48eefeaf640de412de02204903568b6e48
- Size of remote file:
- 1.47 kB
- SHA256:
- 99753ecc9725cb463a1acc03fa95671b59d366ed45a71854383d0a8e379a982d
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