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:
- d2cf35de7828509c97528fcde6dea299067b7a2b0d8cea0d888be38eab46e405
- Size of remote file:
- 1.01 GB
- SHA256:
- 67c687386e7f0bcc1b0cab97971038f78f405c6cbaa22b344603ad4b030d172e
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