Instructions to use JungIn/Text2SQL_with_tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JungIn/Text2SQL_with_tinyllama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "JungIn/Text2SQL_with_tinyllama") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Description
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Origianl Tutorial Document: [SQL Generation in Text2SQL with TinyLlama
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- **Developed by:** [More Information Needed]
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### Model Description
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Origianl Tutorial Document: [SQL Generation in Text2SQL with TinyLlama's LLM Fine-tuning](https://www.analyticsvidhya.com/blog/2024/02/sql-generation-in-text2sql-with-tinyllamas-llm-fine-tuning/)
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- **Developed by:** [More Information Needed]
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