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:
- 9f083f74395aa343f322bdee125fbb5a422cf0597d23f73ecbf681ea71598c42
- Size of remote file:
- 4.74 MB
- SHA256:
- a3bc2bb4faa59c5b4d4444402a371d35e399ec5c0395497516d5b8a18204541d
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