Instructions to use philschmid/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("philschmid/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from philschmid/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/philschmid/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://philschmid/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/philschmid/gemma-text-to-sql/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- be24e47827d13b286ff429f20b762e3a391c47d830caf4d3ffe3b0a8bcca74b8
- Size of remote file:
- 5.62 kB
- SHA256:
- f26408b1609f42a02d976238dec8d865f9ef8bec008c08310e14cafbbc3fd865
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.