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:
- 5036df9216288d6d7caa05e987c4347885c5bddaac749889824dbeb7205ff61e
- Size of remote file:
- 14.6 kB
- SHA256:
- 68a71ce2adaa088d39a621c53df9b35a02f7ea78037e7f34b85f7d46bbafa926
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