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:
- 4d3c20701425c8f3736ccfd951fc5e2b2dd0afd63ec1e157542398fe9dc41c00
- Size of remote file:
- 499 MB
- SHA256:
- 43853f1ffd77b2b8198d9f69e959e937af033a04abf07810a99d93d0395f0ce9
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