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:
- 4c14b6ddf24112a19b57508528c41698b97666da57c8795d4b9cae005c57e2bd
- Size of remote file:
- 499 MB
- SHA256:
- 7ce5189acfb1b35dd7dd1285c911a2ef357086548d29168992b5938cd160e1ae
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