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:
- a32fc29c18d3ef42336b1bf7cb7f233c1c50b915fdd3340fe820d5ed6586733f
- Size of remote file:
- 1.38 kB
- SHA256:
- 1f6829e47549862e022b4eedf087cf81394f448150e958ad6663988076bf8691
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