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:
- a1240dab68c53d1cc63324c6550e6b9e63ba1b449d01af118057e1c1bdb926bc
- Size of remote file:
- 499 MB
- SHA256:
- 665d1f6d7cabc187a2c05357e277b61c6a5caafa84e641cdaa9f74e1fc8f6b9e
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