Instructions to use yujia23/axolotl-qwen-cn-3e-4-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yujia23/axolotl-qwen-cn-3e-4-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, "yujia23/axolotl-qwen-cn-3e-4-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b196ed70eb5c48c2f32735cf65f2bcee5f9c233bbc2b940e9dc7ce3de0447e39
- Size of remote file:
- 5.75 kB
- SHA256:
- 5a5f5a3247deaa670d2445d5b7d23abcefeaaaa57a5c106b2b46878a93d61bd7
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