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:
- 6ca8bc8d2d3d6a1fa4b27f26ebb85792ab86e37b6498ed4f07329f5c5bcfa6ed
- Size of remote file:
- 1.38 kB
- SHA256:
- 5f8f63d73baf60e5f7e451eaeac214d86c542fa22a61816c566223b9d6dd4bb0
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