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:
- eaa8a27bde69965d197e0992191ae552ccace03852c3675d7495117f24ee2292
- Size of remote file:
- 1.47 kB
- SHA256:
- 94d198f1873092205d4c42364c530ce00d3f5ca71ab6755f6983b20d7503713e
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