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:
- c601164423882f1e6eacf2dbdbd0dc187686650e9c26f99f0ed56a6b3a82f88b
- Size of remote file:
- 14.7 kB
- SHA256:
- c7ad1f5bd03c5b693ac65b5330d044d4256afb982243b5e689487a4d29ff7884
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