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:
- 0f58af8e5847aee5b0f4fb29e0b88e3ca8a7176fdc72a7913d74f67c8b02c2b1
- Size of remote file:
- 1.98 kB
- SHA256:
- 5c69cb9ab6a70db20a2d0ee7c18ddc9292442d3eec7b5ec05df69a67d327cf4b
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