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:
- b5542870a9ccc94ddc69ae492ee34c82e109a963d164b1ed274876629fcd6adf
- Size of remote file:
- 499 MB
- SHA256:
- 34f62f2e2935abbdd0f8d5567e447c234e77e119d414ca9ce31e3a1ce06552e2
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