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:
- 44149237a19eb9d4c9d2514563210456a407686af2b34cbaa614450f5f49c15e
- Size of remote file:
- 14.6 kB
- SHA256:
- 92749dba80344f7fbb600490e0859bf95cfe3553899b6b40b587db34c59e5a78
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