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:
- aa2852034de9096a02409e2c372cf9c52946c5c13262ee661b3f9d12ffcf2c16
- Size of remote file:
- 4.74 MB
- SHA256:
- 80a5156c308c91edf59dabbe0cb10a901ca02179d2cce567f64adedc884617a5
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