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:
- 4950a2664d446bfe81023f957e70eee98086cb44e5ec31f6074b9c1e8b445d63
- Size of remote file:
- 4.74 MB
- SHA256:
- a3d23813c5609fedbb1aaf47b7ee6105f710ccc89a0cb48cd96af44f21e2ec6b
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