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:
- 485b070c9c46cf9df29e7ba1706392123335dbee16ba197e8afc89fbbf185fff
- Size of remote file:
- 4.74 MB
- SHA256:
- a7f1c9b52df0b678bf75a4d7b875905960def809f53de2d9da13098a62b5482d
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