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:
- e76d724d55b11339308a253e58069336f52efc25e6779ba837fbf3674e6bd45c
- Size of remote file:
- 5.84 kB
- SHA256:
- b29dd79ae441841dc571db61d494e30f73624176dfb9556119a957227915b449
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