Instructions to use satendrakumar/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satendrakumar/gemma-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("satendrakumar/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from satendrakumar/gemma-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/satendrakumar/gemma-text-to-sql/resolve/main/tokenizer.json
- Command line
-
hf download hf://satendrakumar/gemma-text-to-sql/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/satendrakumar/gemma-text-to-sql/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- e96a17bb638d7e5c417d4c2abf3cdb5af7a97b50605a250f2f6d84c29b46d1d9
- Size of remote file:
- 32.2 MB
- SHA256:
- a2619fe11b50dbed06ac443c51d757b354d0b62d64baa514404d4e84e6713519
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