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:
- c0dc9bf936e2e6d3d6cb5f74c489b88df49f2c801585ede69364c52a3d38d4c6
- Size of remote file:
- 507 MB
- SHA256:
- 2e74132ed0b59e5c3d0482e11ea6b62f68f5f6602237c6513ad9acf5f28a86eb
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