Instructions to use vkovtun/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vkovtun/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vkovtun/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vkovtun/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/vkovtun/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://vkovtun/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vkovtun/gemma-text-to-sql/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 24efa62235de9f15c11b488d419ac0645845c3e10ace9562ec7b26f8d7474d07
- Size of remote file:
- 5.65 kB
- SHA256:
- fae484de9ade38e5a7e34b0a0211b32e7ccc1e3b3e6b7bc5d7ce67540229afb6
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