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:
- 72f5d34486a501fdc72620b2c67b35d7acfd8b6fe2343a2cf015b0620071f3e1
- Size of remote file:
- 507 MB
- SHA256:
- 3a05ca16ecd06f98a9ceefc2faba95232c23fc27a7b8b2567b8136df172327f6
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