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:
- 988f5505a30ff7409852bcb61126469ba43284a62437c1ddbd1c825276efa02b
- Size of remote file:
- 1.38 kB
- SHA256:
- 78d8f515b01464b74ed3455bfe222e15521ef386634f1dead59372b508e3d21e
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