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:
- f499ab1814332a112cef3735ed8533b7d93cb0cbf59a179701cc9f82bad2aefd
- Size of remote file:
- 14.6 kB
- SHA256:
- 6ad05d0b125485f9f16fe2a52e6ee6f23ff59a7e2d02c8811c1fb9753e86b841
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