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:
- c25e96f86881932024ae19ec820b00a33a919a755ee541d74397f2edebff0999
- Size of remote file:
- 499 MB
- SHA256:
- 61d5c9de3cde05f670095e14f42c9e4589698ab7e7544947e9899cb0fe38685d
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