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:
- 172da0c1b4e356a34d60a8c083a7c5d7726d62bbf79a1e9e9ed6a30348434c48
- Size of remote file:
- 1.38 kB
- SHA256:
- dbb840e1609cf0fcdfb28db1eba7346a1598ec64f055428e0b0daef59592d19e
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