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:
- a26f8e88517459d761809bee27afdad729de7418fae3171ddd7f65c7d51d73f4
- Size of remote file:
- 54.6 MB
- SHA256:
- c7062a93a0f05942f820cbe98302d99fbd60d2068f1ad5f58ac6c06b38f97ff0
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