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:
- e548e1f187465cb3a501f319406128f447eb7858e440dbbc74cdc70e29b53349
- Size of remote file:
- 499 MB
- SHA256:
- d19fdc7a5fa21c91052f15414ec14e1da4bbc85f75aa66510c1c463b2f14e2f6
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