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:
- 353e07025d87e300a3b7c2ca3df5b4fd58c4c866bc364923b9c4c4bdb6154a7b
- Size of remote file:
- 4.74 MB
- SHA256:
- ace6c83a38805d8c17594db298d934b6cafb273a7cad8eb56ef68dcdc5a2a197
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