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:
- 9db510ff07063ccc0f12d76e271ca5741d5d9097e086c3ee120bc273fc62ea31
- Size of remote file:
- 5.78 kB
- SHA256:
- e72353f4c9aec8aa78e85916ea1e167db5c282ccfd48294f1986907e6699455a
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