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:
- 4ee57e4ccde8a523375e0a6e15f935b510579f170dec3e8c333455e16cd073c6
- Size of remote file:
- 161 MB
- SHA256:
- bb9dd174a4cf15daa9fcdba73306715199b5be7e1b71840b099ebc0d2e234be5
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