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:
- aa491675e0d425505676db46d0b399808e1772d0ef11ed8d13403e806f2e7ad6
- Size of remote file:
- 14.6 kB
- SHA256:
- 37358dbe191493f3cf306a7adf449a0df268912cc6349da52e58220f9e5a6d63
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