Instructions to use yujia23/axolotl-qwen-3e-5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yujia23/axolotl-qwen-3e-5-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-3e-5-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e6837f6b0e4191bc84c4739002adfeaff768783aa3c9f0a8cc99322fe32e650
- Size of remote file:
- 320 MB
- SHA256:
- b705c44b05d7a90e2b92905f21d2ef5b42a8bd68b95a84a3a5d30a0b0caaff2b
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