Instructions to use Tarun6665/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tarun6665/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tarun6665/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36b9ab79ae254bb3e21f75c7bdfcafd8fa3bd38ba534676ba31b6268fa332e8a
- Size of remote file:
- 6.1 kB
- SHA256:
- a974dd439f9f15ad927e468c17e17e68442fc6f439361c0b82a79577e5f61363
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