# Text2SQL Task T5-Base + E-commerce pre-training

This is our T5 model pre-trained on 18k e-commerce pages from popular blogs and fine-tuned on Spider using a schema serialization.
## Running the model

Inspired by the work done by [Picard](https://github.com/ElementAI/picard/) by adding a pre-training step for better performance on e-commerce data.

```python
[question] | [db_id] | [table] : [column] ( [content] , [content] ) , [column] ( ... ) , [...] | [table] : ... | ...
```

{}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Text2SQL Task T5-Base + E-commerce pre-training

This is our T5 model pre-trained on 18k e-commerce pages from popular blogs and fine-tuned on Spider using a schema serialization.
## Running the model

Inspired by the work done by Picard by adding a pre-training step for better performance on e-commerce data.



# Text2SQL Task T5-Base + E-commerce pre-training

This is our T5 model pre-trained on 18k e-commerce pages from popular blogs and fine-tuned on Spider using a schema serialization. ## Running the model

Inspired by the work done by Picard by adding a pre-training step for better performance on e-commerce data.
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Text2SQL Task T5-Base + E-commerce pre-training

This is our T5 model pre-trained on 18k e-commerce pages from popular blogs and fine-tuned on Spider using a schema serialization. ## Running the model

Inspired by the work done by Picard by adding a pre-training step for better performance on e-commerce data.
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Text2SQL Task T5-Base + E-commerce pre-training

This is our T5 model pre-trained on 18k e-commerce pages from popular blogs and fine-tuned on Spider using a schema serialization.## Running the model

Inspired by the work done by Picard by adding a pre-training step for better performance on e-commerce data.