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:
- 3c3fa2267ea65603fe1b05cef876851c2d62c32990f6ead0e0b276cb166ceec0
- Size of remote file:
- 14.6 kB
- SHA256:
- 08caf38b13d45258389b41019ea11e8ec28ca9257b10c167e0da2af4ab8e3ec5
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