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:
- 6b82732170f7244c99afe612f66db9ae603d39979abe27f45c9d509ac5a9f82b
- Size of remote file:
- 1.47 kB
- SHA256:
- a2e896b20a477c5286da5432db1aa2eb0570278dea808738954c64294bfba404
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