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:
- 630ed81d26122fdf2f5d57aca355b9508f5bb62882c244914e998d2eb2b3e19c
- Size of remote file:
- 1.47 kB
- SHA256:
- 388b3a12ccf35fe591fba43dc0d117f2614a17e7533b8e3032c711fc28a3b233
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