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:
- 63559046556003dc17ea2aa182f00a56aa24b2b4fd682993cf8464ff9e4be345
- Size of remote file:
- 14.6 kB
- SHA256:
- 0ea1b5dc44e07bb7fcc644910a14b04ebd8863c5a7cf8eb7438e00e0c30f16a6
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