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:
- dcb7bcf226fb59aa8c434bdc816cdb5ef97f3c69b121654b63bd2f12a04a67ab
- Size of remote file:
- 1.38 kB
- SHA256:
- 6fef122931c86c2d2736773be787da21ac6460d41580735381e953556fb410be
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