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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value: 51.4
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verified: true
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github: https://github.com/swastikmaiti/SwastikM-bart-large-nl2sql.git
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tags:
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- natural language
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- SQL
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value: 51.4
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verified: true
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github: https://github.com/swastikmaiti/SwastikM-bart-large-nl2sql.git
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co2_eq_emissions:
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emissions: 160
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source: "[ML CO2 Impact](https://mlco2.github.io/impact/#home)"
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training_type: "fine-tuning"
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hardware_used: "TESLA P100"
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tags:
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- natural language
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- SQL
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