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:
- c0c6cdf9594273d9102887e349746b992ec907128e8f3b84c10a47094d46e721
- Size of remote file:
- 14.6 kB
- SHA256:
- 2533ee5d1fa769cc2164b95d88e0df14f136fb5e6d1e47fc9541a03a10815bcb
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