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:
- da8941bbe6214dacf3d6805c4f7116d8a8786d28fe41e600ed89fe156cab8ddf
- Size of remote file:
- 1.47 kB
- SHA256:
- dbfea7e105a56a1e972a5a173ec2b16f667b010240d5832ef2b86aff88f86006
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