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:
- d42d105b8a08c1ccbac299ce031182da0ab11118dc590dd58d22b32763e93f0d
- Size of remote file:
- 1.38 kB
- SHA256:
- db5e3abecfb917c340b4d882625db5f9460551d58b56c250704864b7bc1aa3e4
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