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:
- c54bb7e429675b08d2d2a65c083fe85209aa03e135bbaee1231ac86f27c91550
- Size of remote file:
- 4.74 MB
- SHA256:
- 4b0cdb2e603be5497a73c67a8f5229c8ecf640592656375efb0ba70156a07bae
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