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:
- 1e079e3a55a8eef65352d041f601e0e77503b6ff3e70ac423ae98519f04533ad
- Size of remote file:
- 1.38 kB
- SHA256:
- 22b011705203c796980cb72d16345e6edb177793ce13489bb184b19a77d972b3
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