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:
- 7f32aad9d8c459b8cbadea29df74dc703ea1964fa44fd7dec3e3e65150ef8707
- Size of remote file:
- 14.8 kB
- SHA256:
- d6e5c9a07f3f291636965eaeac8f965e4d9c0c54af3e92df020bffab1af8436b
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