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:
- a4a7ae485b5e10a0663f74903774e0f4e1d830d60f5076409a82cf2e7be638a8
- Size of remote file:
- 14.6 kB
- SHA256:
- 714bd65b559f547695a9525e0c9afa49231b1b2a0b649650880af07c3819df59
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