Instructions to use cscps/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cscps/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cscps/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9187fe1b19346ec7e878086efe750f8c7b8c3dd111d5935a3823a3d076f610a
- Size of remote file:
- 6.23 kB
- SHA256:
- 227c53a54dddc2cb9ed33b74b73f01b78d626d722d270b6ab171aa152ec974ad
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