Transformers
Safetensors
English
bart
text2text-generation
natural language
SQL
text2sql
nl2sql
Eval Results (legacy)
Instructions to use SwastikM/bart-large-nl2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SwastikM/bart-large-nl2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SwastikM/bart-large-nl2sql") model = AutoModelForSeq2SeqLM.from_pretrained("SwastikM/bart-large-nl2sql") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **GPU:** P100
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##
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**BibTeX:**
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@software{gretel-synthetic-text-to-sql-2024,
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author = {Meyer, Yev and Emadi, Marjan and Nathawani, Dhruv and Ramaswamy, Lipika and Boyd, Kendrick and Van Segbroeck, Maarten and Grossman, Matthew and Mlocek, Piotr and Newberry, Drew},
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title = {{Synthetic-Text-To-SQL}: A synthetic dataset for training language models to generate SQL queries from natural language prompts},
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month = {April},
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year = {2024},
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url = {https://huggingface.co/datasets/gretelai/synthetic-text-to-sql}
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}
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@article{DBLP:journals/corr/abs-1910-13461,
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author = {Mike Lewis and
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Yinhan Liu and
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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## Model Card Authors
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- **GPU:** P100
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### Citing Dataset and BaseModel
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```
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@software{gretel-synthetic-text-to-sql-2024,
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author = {Meyer, Yev and Emadi, Marjan and Nathawani, Dhruv and Ramaswamy, Lipika and Boyd, Kendrick and Van Segbroeck, Maarten and Grossman, Matthew and Mlocek, Piotr and Newberry, Drew},
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title = {{Synthetic-Text-To-SQL}: A synthetic dataset for training language models to generate SQL queries from natural language prompts},
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month = {April},
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year = {2024},
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url = {https://huggingface.co/datasets/gretelai/synthetic-text-to-sql}
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}
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```
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```
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@article{DBLP:journals/corr/abs-1910-13461,
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author = {Mike Lewis and
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Yinhan Liu and
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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## Model Card Authors
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