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:
- e3b141d4204220cdcc86c9a8ae3ae3af1131cb11a25f86812f4b590cd62d60cb
- Size of remote file:
- 1.47 kB
- SHA256:
- 00dde6b1c6d4031ecf5cb551ceaa56a4302d6a08ccf15f60beff40f16187a67c
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