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:
- 2fe15a0b9bafd91064a7ca44a0af3d8dde0097e90172b587845f20808d757d66
- Size of remote file:
- 1.01 GB
- SHA256:
- b60cfe91940f22ba5ee804c87d4e3a1776c8d2a01bf337b1f17cc429d7515fa9
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