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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7e199081d725aa08a908de1939690002a4ba02405439288ab294a20391ef60d
- Size of remote file:
- 990 MB
- SHA256:
- f4a836483c4b39c6242f3ab86f8b812cd27cec4863930cbb74014aa42a6c0a30
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