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:
- afcbcf78d10a791147fb1882d93bf34841cd2fe5e5359caa3712f2fea774eac0
- Size of remote file:
- 4.74 MB
- SHA256:
- 4e3659f041e4c8d82648f51304b5085f2588948bfb88a4a567f372a2f90da828
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