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:
- 14df6df14ca8c036904f513d248c964a34030848c014838ba2e096f18bde854c
- Size of remote file:
- 1.98 kB
- SHA256:
- a7f7f10addafb465c38e374d351212daa821676c6da17d02f7fb0ffb64d30980
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