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:
- 55a24b57649516ce18b6137e7dc58a9e50a9a50655300dfdaad29b648290e8e0
- Size of remote file:
- 1.98 kB
- SHA256:
- 1880f4b91585b3e90083a49643f4a6d62322f0d4c62e5a3d9ee600b679e670f2
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