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:
- 23db8ed8d96c5dc236baf7899a065931e8ba269bc8bf09cb9ce7b98626ff3845
- Size of remote file:
- 1.47 kB
- SHA256:
- 928190fa1d3edd4ba374db3d04217b214d87bc7124232d8888e8b2ae2eb12f68
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