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:
- 5843875ab063bc85f82eb908bdfbbe838f7d33226c2add65f3cbd38eae4ab9d2
- Size of remote file:
- 1.98 kB
- SHA256:
- 4d4199a33442c95e87b4a33d0af6fb214c2d3bbc21e94ab934f799dcd393ebb0
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