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:
- 3b14b2caec1567e16c8483f7a77e520c3d9e65440c09e1959aca45e78cf5e046
- Size of remote file:
- 14.6 kB
- SHA256:
- 1f6ff47fa8b57e5f1dc4917d8eed656386fe1b55e509091053d147e304faa028
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