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:
- e51bc070f35854a473127956a3ba72a19178ea336c6efdb253987c627b216671
- Size of remote file:
- 5.14 kB
- SHA256:
- f92c0ad828f9fc53891b102473ec81ea80ffafa1097d55485de37c3cd5f81501
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