Instructions to use slang88/gemma-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slang88/gemma-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slang88/gemma-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2849d3c87bd134f5ab13e5699c2f85c8a0d58528346a621637f4766991825d3
- Size of remote file:
- 5.62 kB
- SHA256:
- 2cd250aed73a5b7d5de3bc08fab8c91867f580fdf0b79309747b495f921184fe
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