Instructions to use viirya/t5-small-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use viirya/t5-small-text-to-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("viirya/t5-small-text-to-sql") model = AutoModelForSeq2SeqLM.from_pretrained("viirya/t5-small-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from viirya/t5-small-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
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https://huggingface.co/viirya/t5-small-text-to-sql/resolve/main/tokenizer.json
- Command line
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hf download hf://viirya/t5-small-text-to-sql/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/viirya/t5-small-text-to-sql/resolve/main/tokenizer.json
2.42 MB
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