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:
- bc8237609743f322354917e3871939fad8ebbaa34a0cbb150a3a9da4a679dffa
- Size of remote file:
- 1.47 kB
- SHA256:
- 63a6e34118894da77328dc4487914a7b9b9dbb71f404e8060d27ed90073c6190
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