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:
- 0bb785783241de314d05cc7ae92b32c985f766a61e95752b55e53265d2e98cbd
- Size of remote file:
- 499 MB
- SHA256:
- 6031ed9355f4bb93cc424d55e3a52229dd6d62203e13678081e0176f8498ca62
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