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:
- e25f674745efe1a3c4e8c9588556ccaf83655400ffe864554065d1503c5da1e8
- Size of remote file:
- 14.6 kB
- SHA256:
- 4c94a304dfdd251f582c2bb1d288755ddac5ef3f7e8f7a1021043c0608bab401
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