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:
- 893962a99992efb2bd6f7b27f3fce6174567828a7be3032ff463bae70ddf01f7
- Size of remote file:
- 507 MB
- SHA256:
- 42de134f764d072cd87e595cd5ffb12468d2097b711755defdfba4c816374781
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