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:
- f7442500cd45f71f9d94bc30d687507993c28e0c6c421f40d511ec92ea059100
- Size of remote file:
- 5.84 kB
- SHA256:
- 66cbef846d2329e000727fbcf0db86e3ad5252ae9de8caa12e196b1fac3c9577
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