Instructions to use Navneetkumar11/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Navneetkumar11/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Navneetkumar11/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Navneetkumar11/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/Navneetkumar11/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Navneetkumar11/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Navneetkumar11/gemma-text-to-sql/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- f3246d7f2230e29c61d7c59c00bc6a78427e83db6b87554dba9a7656acd2f9a9
- Size of remote file:
- 5.71 kB
- SHA256:
- 6da60ec6db46a4d38e71b9a93c00a4827ea5baba1db83002f574e89ca570fb11
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