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:
- 1a320fd207624dfa4872fb9905e068cfaf7c67f525227a7f8b4debc18606f093
- Size of remote file:
- 4.74 MB
- SHA256:
- 63969bd711b3b9a06f9ee5ce6fd1f54e14c69bbd566d87e2f76269921f9a42e1
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