Instructions to use arvis/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvis/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvis/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a6032048b7a65c1d42e2e29619df5b8068660db18a8a06009d7621097dadfe
- Size of remote file:
- 6.23 kB
- SHA256:
- e6ccaf0fb2cbe7b1f9aa2b7391679b3d22a97ace98dedc0a76e4bbb3a1d5eea6
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