Instructions to use Samiley/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samiley/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Samiley/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Samiley/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Samiley/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Samiley/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Samiley/gemma-text-to-sql/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 45e45464f3d1c13a44dc43fb0492967168e58b60609919214d2d1c2fca7bddb4
- Size of remote file:
- 5.62 kB
- SHA256:
- 3cc68475b91dfa9251ec1f77d86968ea9403c7149c35008ee99455b577d08d96
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