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 added_tokens.json from tmp797979/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 35 Bytes
-
https://huggingface.co/tmp797979/gemma-text-to-sql/resolve/main/added_tokens.json
- Command line
-
hf download hf://tmp797979/gemma-text-to-sql/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/tmp797979/gemma-text-to-sql/resolve/main/added_tokens.json
35 Bytes
| { | |
| "<image_soft_token>": 262144 | |
| } | |