Instructions to use ducdzyb/qwen7b-vitext2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ducdzyb/qwen7b-vitext2sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "ducdzyb/qwen7b-vitext2sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a582e8e2fe5b48d0c34b31dc71db851d273f3de1e2cca599bf5496537ea1b5fd
- Size of remote file:
- 11.4 MB
- SHA256:
- 7ef098fb53e76cfa06a012b3826f5889a5ab693afa875d97c3353ae1edb9a1dc
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