Instructions to use newadays/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use newadays/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("newadays/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from newadays/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/newadays/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://newadays/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/newadays/gemma-text-to-sql/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- ef433d392656f9a8c07105496f930dec6c32396a6bdd9d25360f5c1baacb6ac7
- Size of remote file:
- 5.52 kB
- SHA256:
- d057eaae7a60331af90a483c6c84ed7a90e68d21d1e6d4644544269fc19abcb5
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