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:
- 315f221edc456d9a766ca663235dfdb6f3721566e6ebaab2d52e1c293fe68dc0
- Size of remote file:
- 14.6 kB
- SHA256:
- f7f8420efd4033f2ee4b17a98ec6a1891ac23eab5039ea351d9587c7e33ce451
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