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:
- cb2f6ca8c1cadb6afd6843cd4fcbfc4688afa3a3e4c59f5c1ca748fac075edce
- Size of remote file:
- 14.6 kB
- SHA256:
- 767451645f91f6b3b01eeb7b622f9415eb0e210eaf2f1868fd8984c503d39ac3
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