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:
- af234c1429366aeb6129d75c1d6d67d8184ca27a6628b934590de7b2240ed5bb
- Size of remote file:
- 1.38 kB
- SHA256:
- 12881c5bb3f052d93674ce05408109a22ca56e854712c1e22454903c3cdb1e75
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