Instructions to use elena-soare/bat-table-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elena-soare/bat-table-aug with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("elena-soare/bat-table-aug") model = AutoModelForSeq2SeqLM.from_pretrained("elena-soare/bat-table-aug") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Text2SQL Task T5-Base + Fine-tuning on Spider + Table Augumentation
This is our T5 model fine-tuned on Spider using a schema serialization, which includes a table description for injecting domain knowledge into T5
Running the model
Inspired by the work done by Picard by adding a table description to the question and serialized schema:
[question] | [db_id] | [table] : [column] ( [content] , [content] ) , [column] ( ... ) , [...] | [table] : ... | ... description * [table] : <meaning of table>; [table] : <meaning of table> ; ....
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