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:
- 68e7fb82c34b547ca32d774eac79fec4356fd38650fb16a1a72b9b010cf40eac
- Size of remote file:
- 1.47 kB
- SHA256:
- f42b82fc050daf3e912abc97eef91deaf065d469a1aa16fd4898dd0826aa8836
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