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:
- 6982e8d41cd0d98aa001a2cc3f20e92cbf79e6444486d26b245d6d00c129e125
- Size of remote file:
- 5.84 kB
- SHA256:
- 35d071116340aee07c195df38edc9c8a987c20a84c3af618845dff316a63c31a
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