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:
- ff9612ed1ded5299198e88bef76c99df7923fc420e84ee20cf36921faed7bf0b
- Size of remote file:
- 1.47 kB
- SHA256:
- a1a24cde04d57e738ef50ad7ff8ffdc9c34b1e5155cdccf9430834307ea21fd7
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