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:
- 1e206ff9c0e8dea5a064e87800888d657b3039e07a8de9b9c61290ab9fefced1
- Size of remote file:
- 14.2 kB
- SHA256:
- 5ad691b0bd97083d0c49294d03f47bebdf7b44a4bb387d241ec5328168f4b01a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.