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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library_name: transformers
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base_model: facebook/bart-large-cnn
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---
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library_name: transformers
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base_model: facebook/bart-large-cnn
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model-index:
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- name: SwastikM/bart-large-nl2sql
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results:
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- task:
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type: text-generation
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dataset:
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name: gretelai/synthetic_text_to_sql
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type: gretelai/synthetic_text_to_sql
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split: train, test
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metrics:
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- name: ROUGE-1
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type: rouge
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value: 55.69
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 42.99
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 51.43
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 51.40
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verified: true
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---
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