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:
- e7d8e80cd27e35a7882a785f480d48dd60af669c7d94a72cf58734b4fddd138c
- Size of remote file:
- 14.6 kB
- SHA256:
- 2e0886230c73a787b8682d7bdf9408209eda92aca36d376ac933517421dc8cef
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