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:
- 0899373edd52c1a83f7da905fa43488f23f683d07e5078dab7518a73ab0d96ff
- Size of remote file:
- 499 MB
- SHA256:
- 33d1e5063213f214a9f1effa3c1d7fdca40af6b0941bb37ae0f1a6239c90b3c4
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