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:
- d7ac30c9d8e52e11d9f6553dffdb0a1465748f372d5f4abb2cb84b6b8bd5d6ed
- Size of remote file:
- 1.47 kB
- SHA256:
- 73cb732442e2d829e594b5b61d500d80c02db855b5b504235793fe2f865f5954
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