Instructions to use kylemite/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kylemite/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kylemite/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f20c3408a44f324568c4d359ed38c0e4987bc088462850d1ab444c9382f9d540
- Size of remote file:
- 5.62 kB
- SHA256:
- 2316c9c5bed85c71cafbea4297ff56db1fb92000dec9f793733ce869506d0e92
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