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:
- ae47a9b9e4728eafedb1ece82a1000196e6a8a214f6b99e76dae011ae5fd646b
- Size of remote file:
- 1.47 kB
- SHA256:
- b91e66f421c38847c52a87847777c6247c8ebe6edef14a199414dfbdfe6d70b2
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