Instructions to use kylemite/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kylemite/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kylemite/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64c722df84c08f5e3e0e7978ae759cdc234be06831bcce748ec34a9f8c5b0210
- Size of remote file:
- 5.62 kB
- SHA256:
- 1418f5a71b252e07850a3621aca303acaf08120d520435a9d1b8a3104d05971e
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