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:
- 8f2cad13ed3d1c3154adffe1251b0e94d99f0185054379a0237f9f4018cc93d7
- Size of remote file:
- 4.74 MB
- SHA256:
- 9bd2ec8c5a16b46ce4afe1dcac55b713136ceebbe600c657923d4c518562f65d
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