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:
- a40688281fde10dce71ef946f9c3385c6667f1660aa0d37a5533b6a27b299d32
- Size of remote file:
- 1.47 kB
- SHA256:
- cd38f8e3e508bdf1564c9d172c1f6108f72c5a5e2aab032c520bda4f2426d436
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