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:
- 386aaedf874115f52191fbefb3f7a148221164f6376551fce9f7cfb849562a9e
- Size of remote file:
- 1.47 kB
- SHA256:
- 23673245f9d38511ddb278bc62eff92cbf79c78692024951bcecc31aafc6e59e
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