Transformers
Safetensors
English
t5
text2text-generation
sql
Eval Results (legacy)
text-generation-inference
Instructions to use juanfra218/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juanfra218/text2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juanfra218/text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("juanfra218/text2sql") - Notebooks
- Google Colab
- Kaggle
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README.md
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- [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context)
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- [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql)
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## Ongoing Work
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Currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original [PICARD paper](https://arxiv.org/abs/2109.05093).
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## Training Parameters
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```
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- [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context)
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- [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql)
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## Training Parameters
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```
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