Instructions to use Crystalcareai/CrystalQwen-1.5-7B-Alpha-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Crystalcareai/CrystalQwen-1.5-7B-Alpha-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "Crystalcareai/CrystalQwen-1.5-7B-Alpha-Lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ad3c3bfbf6fb47fa73f9ca12b11069fa3c35838335b5ee19fc1d3770f41e081
- Size of remote file:
- 14.2 kB
- SHA256:
- 57582341fbc577144fd76d8dbbf6c1f22d480f47aede7127df91aeb2c2cf9891
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.