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:
- 40e991fc91297aec686a7c07d72170216e5f107962495f32c9475d4dd79f7f53
- Size of remote file:
- 504 MB
- SHA256:
- 34ece475069d40c0d3602879a9d44cacccb53d92fdcf843008331c0076805e1a
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