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:
- c5497bd8899b6abe40be83ecf4bba004c80ea01d1be2e65d47e421da6a916a42
- Size of remote file:
- 4.74 MB
- SHA256:
- 7551f8a6d162b83e0281c6f0bcc54d2e19195494b002d45a3155ac0c8e8d5773
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