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:
- a5271a18c4cb896dbd699a3726fef2bfb5af39e3dda153a5d2cd17fb7f4636e3
- Size of remote file:
- 1.47 kB
- SHA256:
- cf4e05d599e3f7350270baeea47a97754f2c1df2623cb7794b38f920e23d6222
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