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:
- 820c3b52ffde16f9247a48203ce2ab00310728ae97974d45b047b84234049e82
- Size of remote file:
- 1.47 kB
- SHA256:
- 81ae11927bc7b11281f047e4e77347ce8ade8da8dfbbfbe8e19b489e8695f5cc
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