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:
- f944180fe61039378fa8a5f63a8a05d7b715ac54d3f04c9d6bc4cd15488c5d83
- Size of remote file:
- 14.6 kB
- SHA256:
- 91bf8ae4faa6019f48651847aa8b5d8efc2d4d2f8ad878a9b401f33e54bdad10
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