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:
- a9ee1dc7758ad1e3b1b34c0a8a364d7b15027ffdfa99a51415d364b2ae03e6f5
- Size of remote file:
- 1.47 kB
- SHA256:
- b851d3befbd44b60717bbc46c57e884e1a9f534520ed08499a8654800370d4cd
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