Instructions to use bebechien/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bebechien/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bebechien/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a958a2e3c86698725a457d5d2e346fb6da09107389a99315336c02ef423011ba
- Size of remote file:
- 5.65 kB
- SHA256:
- f0913222bfaad24eda524d341943565b46e6fd10a7b6f5fa4ff28c941f0f4a42
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.