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:
- f6408b05e4616580db8ea0455449c8f3c1d787fd213c7808f9a9d4bc78c96076
- Size of remote file:
- 14.6 kB
- SHA256:
- 2771e32e60cac3946edc2fcfcba07d99a3b58324dbb86609976bf42f8431c4ed
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