Instructions to use yujia23/axolotl-qwen-cn-1e-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-1e-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-1e-4-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e605e8c9f628c0647b485101fcdc61481c927504a38947ae3ec5f7f1cf8203b
- Size of remote file:
- 1.06 kB
- SHA256:
- aea4b777480a073ce1cd6a8633b3662ef0fcb7e8c60eb61f15fac746a35ff7f8
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