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:
- c7fc423476ba7db2a36406336c67b551f21093d205ffcc93b63fe4232e5c4a87
- Size of remote file:
- 5.84 kB
- SHA256:
- fa9c87e083ead14f7252ffb7793b3455ceabdb506eb70b2e796633daaa744b3b
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