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 optimizer.pt from viirya/t5-small-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/viirya/t5-small-text-to-sql/resolve/main/optimizer.pt
- Command line
-
hf download hf://viirya/t5-small-text-to-sql/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/viirya/t5-small-text-to-sql/resolve/main/optimizer.pt
484 MB
- Xet hash:
- 6f84d90b49779518dac480078b6b9c4da30390cf642311c808f5ae67f9041cbb
- Size of remote file:
- 484 MB
- SHA256:
- ff13f4ae428d5a1e32d2fc802a7396fe12c339af4850ef923524a01326315312
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