Instructions to use onuralpszr/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onuralpszr/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("onuralpszr/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 124062a75c2e1c02555d515330e6809c5d78b817fe3c28a6c048acf64a046e86
- Size of remote file:
- 5.62 kB
- SHA256:
- f8b6dd21790b7cf0ac4f9c8e73bfe18ca8125c50b349417dd0ec10a52e0a93e0
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