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:
- 954a170cf69915c3f136c55a1e42f458873cfe10f1ea5a18a5928d55009b7f95
- Size of remote file:
- 1.98 kB
- SHA256:
- 1ca762945532cf70776f01dc50c979557aef924ea20456b955387653adde5a87
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