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:
- 840f50e4c94b7491c99a400594850202a22c62b9dbbe7d0fc1c1e3eac1c93acc
- Size of remote file:
- 1.47 kB
- SHA256:
- 117597306fbe507168980dad4c63c11cd8b61ddbd74bb9404ade535980536b2b
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