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:
- 492a189a2d8060908f91089336b6e0fa8c1810627a0913ca8848a19775c9bafb
- Size of remote file:
- 14.6 kB
- SHA256:
- 2d0f6ebf28238c654ab9e878a40e4b165e8986b10ff2c98367e9d4fe7118c974
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