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:
- 7d4c23a79952b7df7bfdc4a79115800a6e06e6e760f637d3d56aca0a5f752ab2
- Size of remote file:
- 5.84 kB
- SHA256:
- 55e805564976941c69ed81dd4f57f02f704352ee18e811a5a0c0eac53999ccb7
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