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:
- 3990484dd97f0a5b8f0c92252552bff65b779d4878424e0eeface8c9907ca3b9
- Size of remote file:
- 1.47 kB
- SHA256:
- cc3b50716096a3599e2b59ac0e24bd96040981e5d6cff058a87c0845284d3026
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