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:
- 9b43d609b59b90ab4c83e21c912d5fc85ef3aeb01eb2bfa7add079b253d10315
- Size of remote file:
- 4.74 MB
- SHA256:
- 33bc19163178e07929f74c9874b8faa2235856319b19a9f384fc4e2fcd84fe4c
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