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:
- 9006aaaa8376e964d5d5c3c992fc2c0111f280523298b0a090bcd1a3172bcad9
- Size of remote file:
- 1.47 kB
- SHA256:
- b8e148681fbd08577298429539a64a9733000c00dadd10d584867ed565afe2ee
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