Instructions to use elena-soare/bat-pre-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elena-soare/bat-pre-trained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("elena-soare/bat-pre-trained") model = AutoModelForSeq2SeqLM.from_pretrained("elena-soare/bat-pre-trained") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
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.
[question] | [db_id] | [table] : [column] ( [content] , [content] ) , [column] ( ... ) , [...] | [table] : ... | ...
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