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:
- 68c76fa8c07604512bdb4857fa44a5f11096931353893a543dd1b44771ce48c5
- Size of remote file:
- 1.47 kB
- SHA256:
- ac5d09b7e45e1cd11796cf49852e18771997ad3dffc320a12c4418112d739574
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