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:
- 8e86ed6be0aaadcfcb63438eab391eb38aaa4863550a4dd3a646a5cf75b4ca51
- Size of remote file:
- 1.47 kB
- SHA256:
- bb881d17d2d6e34ad832fd96935eb15df03a1e272d372fbeaa04a3db4422df26
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