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:
- 11355cec76ea23069a30cea0ca03171f58f68b2647defd5e0bb1ce591c4b5b78
- Size of remote file:
- 1.47 kB
- SHA256:
- 7756c907490b9f11094d9d0b65eab9e2f6c0d2e9db730159269a95547e959a02
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