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:
- 3e2f40c5194ff44e7fd7f5bceaa17b95f52ae91afe67d2da09cba16bc87b6b48
- Size of remote file:
- 1.06 kB
- SHA256:
- 43ba9a9214343df1298e9c7ef00f1d806918bc61509c61a6af856c66f2a8e942
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.