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:
- 06063b24b1120ce950ac57a8636f857371637502c1a49ee216e33d5400156328
- Size of remote file:
- 14.6 kB
- SHA256:
- ecc76f9ba1c9b82fe38f7718c5684f3e54c4237587fe8b67b345d0b669af1f22
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