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:
- 358ccee71e42e0f37dc34f43d0df9815e64110226c8c8303123399d28289cd04
- Size of remote file:
- 4.74 MB
- SHA256:
- 5ec849a49a27e84cd130dec726a63661e09349b0256b3abc68f4452b429f0a0a
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