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:
- 9f827de6d3d22f60d8bf40b849000bef4db1659a50776abfac1a0eca3eaa91c0
- Size of remote file:
- 4.74 MB
- SHA256:
- 1b4ad0b0c7a0a0b11cb40991d29ab1620733f8bcc4ca8ad7243c39080e950d0a
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