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:
- 1c8dc3664d1eb2aeca8436e0168b901de2b9ffa2a3180a526f91364460c0094b
- Size of remote file:
- 499 MB
- SHA256:
- efd06aab9ae68f459b09e225e14780f553abd32e476509788be888d1fa9f5b51
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