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:
- a92ccdde20d6bfadfc28428f76d8247e1abbffb05f379e2f8203ee32f2bbbf6d
- Size of remote file:
- 4.74 MB
- SHA256:
- d1f93d4528d9aba86d394451b0fb00538d689b14cc49f195ade71c8126f9807a
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