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:
- bf9da286cb6e6914e9456e29c3d14af7622449b59e4a7105450b087f1f555ab2
- Size of remote file:
- 14.6 kB
- SHA256:
- f14c596078dbcce9a0de4495a1f589a8de0bac9231ed72208ecb8d3c5ff798d9
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