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:
- 7b83c2db18eef02799b774f2bec0a802d093bd0dcba8d1c094d3b66538bf0008
- Size of remote file:
- 892 MB
- SHA256:
- b1471253a4e9af31be147ce1531f75f06ab45f7fe2cc5d4582bc2a1b7ed01940
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