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:
- 9be66034d263baaf95b659826bda569177d6276e66340083f13f855c0f9dd6d8
- Size of remote file:
- 5.78 kB
- SHA256:
- d229c88ed1abc39a6bd48b7dbee07f184d51a44830b4d34b8679f40346733b63
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