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:
- 484555e52461dcdc4f3e3427926b844945b534f776908b401305284d0c0679d7
- Size of remote file:
- 1.47 kB
- SHA256:
- f2d436dc220f12ae5324774310bba197fb7b5785ee94cafdd5c89c7de116215c
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