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:
- db35a3d70c70f953121635929f09cdbe19c50c1b2d4f52bec7507773726df3ef
- Size of remote file:
- 1.38 kB
- SHA256:
- 25ae3d3885eabdf5e39b13870c7704511ec12ba8aa1af5d653e2f2c554f5dcc0
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