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:
- e2245823600cb3343e861a02c270a3abb27c947f38185179fbe40551bf9b5df0
- Size of remote file:
- 1.98 kB
- SHA256:
- 0a5ab476f3cf79210c1ebb124e0a4c75b4d8b4d0df459d9b662052991fff0c55
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