Instructions to use cgraiff/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cgraiff/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cgraiff/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cgraiff/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/cgraiff/gemma-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://cgraiff/gemma-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cgraiff/gemma-text-to-sql/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- cff9ee781e94fcbb3ba13991b6a10712da95c7316fddd90ecb765328a171757a
- Size of remote file:
- 5.65 kB
- SHA256:
- 9ff4f063cc93d82227caa81a3795dae8197a8cc74adbc7c077aa468b83d52db5
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