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:
- 8a4245850b712b150dc4a0e9f8a2481c67f58719d38f46a30acecfce1a057822
- Size of remote file:
- 1.38 kB
- SHA256:
- 317914e1b0b7e57d42f0fa6759aa19d9a30f1d604cc5192b2404476b6f3f4a62
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