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:
- 2ae9892e7c0b5044134d43f9f917effc2407b7c698c418d71cc41ec9dcb66064
- Size of remote file:
- 1.47 kB
- SHA256:
- 35d9a0c3ba4b6119058aa4cd075214d2e6c290628ea0142bbb8a2b4c54265b39
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