Instructions to use azeemazam/Qwen2.5-0.5B-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use azeemazam/Qwen2.5-0.5B-SQL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "azeemazam/Qwen2.5-0.5B-SQL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b9a47b1f973fd54cc3539cb481532b1670f7f2052588d29e9b935e701e7e0f1
- Size of remote file:
- 70.7 MB
- SHA256:
- 9aac823f491a560375211646b21008858ec886d047dba5da21ffdb0a53146f57
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.