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:
- 6d0dddf65c93fe6b6ad8e6341802d78464863da4fe972c4ae265cf24fe69cee8
- Size of remote file:
- 1.47 kB
- SHA256:
- 3968310e546c1351efe4f86e75c4b347cac67a682ab15b4c3f411e0825982236
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