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:
- 644fe50cb800799fcd230ee64a991c0563bdfdfac6f13c46cb2e59a5c4775f01
- Size of remote file:
- 33.7 MB
- SHA256:
- f14777aff7b0494397a1fd9f77594905ddc24d28c54546057fc47337ac3336cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.