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:
- 10daeb8c5ae78a8e22a75b88b169e552fb7a58890f69ce4331c5e0a25e035bfd
- Size of remote file:
- 499 MB
- SHA256:
- 1e4e748b25483175160cea7725c3f8f0878d2cab69bc662e854fb2f2191256cd
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