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:
- ee1ecf4c36bd52354cf109f19f1e04b96b94cd55e8d13a76ab2d59759c47d0d4
- Size of remote file:
- 14.6 kB
- SHA256:
- d13d28cbd8dea6f99b08a5286e6843028dcf2fd9a6e4cd2045450a8a6ee7fc04
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