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:
- 8b3b63508cc9930da57546fa9e335c9e4b594ec24bb1f110e7cb23b76b1ea922
- Size of remote file:
- 14.6 kB
- SHA256:
- 15c0d4180bda455330407ed0bb58739c7ec87b45b8bb6d957f4d11a53fa4cc59
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