Transformers
Safetensors
t5
text2text-generation
text2sql
natural-language-to-sql
spider-dataset
text-generation-inference
Instructions to use osllmai/text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osllmai/text-to-sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("osllmai/text-to-sql") model = AutoModelForSeq2SeqLM.from_pretrained("osllmai/text-to-sql") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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# Load the fine-tuned model
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model = T5ForConditionalGeneration.from_pretrained("
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tokenizer = T5Tokenizer.from_pretrained("
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# Generate SQL query
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def generate_sql_query(question):
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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# Load the fine-tuned model
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model = T5ForConditionalGeneration.from_pretrained("osllmai/text-to-sql")
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tokenizer = T5Tokenizer.from_pretrained("osllmai/text-to-sql")
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# Generate SQL query
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def generate_sql_query(question):
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