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:
- a65d85babd8b09bcc325f42de804301e53779e84dd119c45ee7f72fd4ae3512b
- Size of remote file:
- 499 MB
- SHA256:
- afab3d94bfe70f623cdf701d99f312bbd58e0df8a0424e3580373df46f964316
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