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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c93038674c73ee71ae2c0db46cb651c5b78a552eec571693f5403d88d082d8c8
- Size of remote file:
- 4.86 kB
- SHA256:
- 762d52713d5c0ecfae13534a698622f76a3b5735e59ca785bd0fc9aabba83cef
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