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:
- 153a0aab015c365e5e53d024c68c67521ed8876f6aa3b8bb584aee73c789c0d9
- Size of remote file:
- 14.6 kB
- SHA256:
- db236f43af2a1e18f8bd14b48ca1899a08ea03909f6a24acd7f544ce3ee66296
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