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:
- e7a0d8ca988bb4ac30d0c68fa9fb348b27912cab6fbacf039b6952762b604429
- Size of remote file:
- 4.74 MB
- SHA256:
- 8ae0d8c7eb0dc55da7708c72806401e00399ec15bc9baffb93e7d1dd7df1855b
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