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:
- dcc931ab31876ae16bfaea0737a5c1c2ddfe847354d64b2f34cb051372a3527f
- Size of remote file:
- 1.98 kB
- SHA256:
- 615a9903cb94fb5599429d59be543997f77d8bf0001ac20b40aebe266da6dbec
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