Instructions to use champ7/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use champ7/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("champ7/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 880d73defb09920f6865527f27242c2d8665a6b08288208baac0e8f1959bc3d3
- Size of remote file:
- 5.71 kB
- SHA256:
- d1bd59c5bff07b863f8a619c96f745f07479ea5e339576ffed393167a844d7bf
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