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:
- 58d745ce758f2619e9710041c34ae2f69a5230185f22f55ec3185e97ba142db6
- Size of remote file:
- 1.01 GB
- SHA256:
- 882a8f621586e604c9f5a7397077a0fc597e1ca6a93a4608456ea22c9b83b77f
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