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:
- 62a9747a6bbda3d82882ac002eceeaa7044e2d78d99bef950ee695739f8e68ac
- Size of remote file:
- 507 MB
- SHA256:
- 5df94bb5664f24898bd1747b90ec5ec1a7894763877b50ed6f92ec343e887343
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