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
Update README.md
Browse files
README.md
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- gretelai/synthetic_text_to_sql
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language:
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- en
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---
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# Fine-Tuned Google T5 Model for Text to SQL Translation
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- gretelai/synthetic_text_to_sql
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language:
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- en
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base_model: google-t5/t5-small
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metrics:
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- exact_match
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model-index:
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- name: juanfra218/text2sql
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results:
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- task:
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type: text-to-sql
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metrics:
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- name: exact_match
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type: exact_match
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value: 0.4322
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---
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# Fine-Tuned Google T5 Model for Text to SQL Translation
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