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:
- ade381321fb5134674b59641b418645e21ee336084e346b0937964728294353c
- Size of remote file:
- 1.38 kB
- SHA256:
- 0e4420338904222790575638e536e5d59f25756f58070a9dfc3e73602e7fbef5
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