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:
- 1847ef2cfd65ba1fe4a9514af534341327765c21cb8619752bf545e3d81408ec
- Size of remote file:
- 4.74 MB
- SHA256:
- d005544dece2a9675dc4ea3d28f5a99d87619a046b49b65553d349a2356434a4
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