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:
- f1011c17c5374a582adec37758eddf8f0bbcbef7034dd6048e8e2e81cc7fd28a
- Size of remote file:
- 1.47 kB
- SHA256:
- 9de8c6f4b3073501026669adcccfbeb5985f5ba0ff08e4bb35e9b1d5e562233f
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