Instructions to use rssaem/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rssaem/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rssaem/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rssaem/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/rssaem/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://rssaem/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rssaem/gemma-text-to-sql/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- d1f9896c05cd441d88d6cbce8cf7cac3a6200f43e9f9ff8bd50681ee91752153
- Size of remote file:
- 6.29 kB
- SHA256:
- 4629db59964ef063959111f814f29189484e4bb6029471f845867c777341a9ae
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