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:
- be2c30c39887dbd02ca8caa925285eee1f18f32f7a7052260d7ff44b5cdc812f
- Size of remote file:
- 499 MB
- SHA256:
- a41da2975d5c8da45f72c323b62d6ec84e08f45380ee8e46aa9264e93f3c009f
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