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:
- 3b5953ef02ff826e3612a47c4622f34e9955df438bf1e2168995af271bd79a46
- Size of remote file:
- 1.38 kB
- SHA256:
- 30858f23bcb22d0baef45bd4add9d6fa474141308c12653c706077b87d932e49
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