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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vkovtun/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vkovtun/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/vkovtun/gemma-text-to-sql/resolve/main/tokenizer.json
- Command line
-
hf download hf://vkovtun/gemma-text-to-sql/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vkovtun/gemma-text-to-sql/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- fd2e82368c71fd60deb60d75d6d72701e0e6d1db2b22144f30c73cf3ac9c8781
- Size of remote file:
- 32.2 MB
- SHA256:
- 0d1d10b5165f3543ad0acbe0ad21105552c7a179fbb90a0d4b73ea22513f954a
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