Instructions to use caffeic/text-to-sql-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caffeic/text-to-sql-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("caffeic/text-to-sql-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10b0f654b03bfb71d40aaeaee837b382caf3d611c265fc206e0430d99289ff94
- Size of remote file:
- 54.6 MB
- SHA256:
- f0d91ed2929639a4de14e1c2cb94318ad5cc798c7979bb3438ad77a044674a6a
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