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:
- 35a198905face7c58625155a551fd6139766dc4a56e2f13a918ec13d1b83fe9e
- Size of remote file:
- 5.91 kB
- SHA256:
- 64c17152ed398b73e20bd50dc60d53fbf3ed80171c849e4471f8fcaebececf87
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