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:
- ff0e0329934d08d755c6c09d71812345cfdf038736502247cb0d1007ae93adc1
- Size of remote file:
- 14.6 kB
- SHA256:
- 605ca5131bc42fe14dd6d4432875bdfab6041af97075249298595eb57e5bb3fe
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