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:
- bdc3eb24fa47926dcdffec0abe54c80e8892fa15da47f95b09a74b3b273a172a
- Size of remote file:
- 1.47 kB
- SHA256:
- a7956fe29eeb8c96b8b73aab40a1822303157f9bb955825e841b2c375612ea5f
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