Instructions to use juierror/flan-t5-text2sql-with-schema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/flan-t5-text2sql-with-schema with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juierror/flan-t5-text2sql-with-schema") model = AutoModelForSeq2SeqLM.from_pretrained("juierror/flan-t5-text2sql-with-schema") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ab7d17ca78bb71a54f8f6b903f9469dd676765f2808a184d3115ef95de567ea
- Size of remote file:
- 990 MB
- SHA256:
- d586a48d9f162eca0f278a04207bec01437ca9701938191a59b614e3f2a03815
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