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:
- 115e0ccfbd0ef5db2013cbd917062131e9014c285c2cf640a2c21a6cd879680c
- Size of remote file:
- 1.98 kB
- SHA256:
- 5f1af4b198e51a2cb98c51243d45d78824bdec80ce0ac23105fa21116a34da7f
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