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:
- 67bd10bfa5409f05cb88a66fdf185b2668c0d14e5a93b3d46d0409cc048b7e9b
- Size of remote file:
- 5.78 kB
- SHA256:
- 25442a0fc63ab39a0b4278f6954102923d048206f65e3a867203c3b922f90a51
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