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:
- 04780cc732c64a52a46fd94a8e968c848b8518d913c47d360cb631e20bb4a63e
- Size of remote file:
- 1.47 kB
- SHA256:
- b683a9e0270ef59bda524139bbaf1cd9071993f5d3a698ac0dcacdd374cee064
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