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:
- b8e360e280c348fd685c958495e1d122114a308a9b62f66ec104f4b38cbd1bf0
- Size of remote file:
- 1.47 kB
- SHA256:
- bf09df71d295b44fbffcc7f812f5e2732486c17d57994a3f0f366c7c7a6b5b97
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