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:
- 50bb609d346784d2c74c98c25e3600be256ab6ceaca74b7cb4ed8c0b3a41cc62
- Size of remote file:
- 14.6 kB
- SHA256:
- d667b0153bf32427b60333b1fe4a206d72e36eefc1792fdf3d499d50e466bd30
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