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:
- 50dd66817e87c7442bc7532695241f6afd9273f69c2552fe21d1873eb911be55
- Size of remote file:
- 499 MB
- SHA256:
- 1775ae2be975414f5d11bf15988d0aec2d616f5a0808295653aacc889c6cfc71
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