Instructions to use tmp797979/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tmp797979/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tmp797979/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tmp797979/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/tmp797979/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://tmp797979/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tmp797979/gemma-text-to-sql/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- e7682a817f366feb0005c622fd3d988296086d1c1c1de192ca82b2a86a7eaabf
- Size of remote file:
- 6.03 kB
- SHA256:
- 58fd25cddeace70b51d317c2f53593245a82856ddb5ed1e50054bb6d709e0831
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