Instructions to use juierror/text-to-sql-with-table-schema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/text-to-sql-with-table-schema with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juierror/text-to-sql-with-table-schema") model = AutoModelForSeq2SeqLM.from_pretrained("juierror/text-to-sql-with-table-schema") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22d83cb6681c51ea7517145118721ef467e7d3c5297ed21ba8524672834571f6
- Size of remote file:
- 892 MB
- SHA256:
- b3477c7c42090b0e2972a3fdfe9acbb18487205cabbeeceaa559d33e49ae4dd7
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