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:
- 10a10702773cf085d3e5161137f0811a1674403a6390247f5f4b0b6481cd1a5d
- Size of remote file:
- 14.6 kB
- SHA256:
- 6fd9e4028a7acfc43907a0422d42bcd5dace812dedd6d7d186883f451858cdf9
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