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:
- 3c4fbafd84be672ee654956b1baaf0d960175130d533fa2d65ff6c227413bc5a
- Size of remote file:
- 14.6 kB
- SHA256:
- 20c3b034723ddd19d4164d9ddced831b3a9857904fd0f88d784b134000843f0a
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