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:
- 3cb44a0c4b239838df668f31967964e89806c5e437796b7f3dc1287ce71af096
- Size of remote file:
- 4.74 MB
- SHA256:
- e0a356d7e7578338726980fb7d72e7c4d6b1e5408ca3e2f10c6a71174205d890
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