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:
- 0434e6d9866aea24d0f763465fdaeef75b0f6e4e7c168c029f9110e9f3548864
- Size of remote file:
- 14.6 kB
- SHA256:
- e08560613aca9da0f5194640c31cde75488bad269a31eb6a9b271573a61cff20
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