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:
- 89e0d1f90cebdaaa37cd6e1bbffe64878758a92aa19a274e3bbb5e85803d2cb6
- Size of remote file:
- 1.01 GB
- SHA256:
- 970f9834ae3f910db9c3681e33d6435f46338be305fcfa49bcfb091cd7e9a401
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