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:
- 4458e866a7aac6b0ad503a36d130c2871fa2b14982f6bdfe62a2f76fd6d3436f
- Size of remote file:
- 14.6 kB
- SHA256:
- 13f963e0d9b8f27bd9541c3a0022f1242ced7e92ff3eacae2aae62aa4a928fc8
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