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:
- 6aa2fa6a9856cf0b9da3d5438d52a1e92e4dfeec9961a72e1cf5dee25bd3e069
- Size of remote file:
- 14.6 kB
- SHA256:
- a0f22ce42d575ecb5c503c0a6f1ea1c31f0d2f31df8668facc18e860c7d106ec
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