Instructions to use Barryzbr12/qwen2.5-7b-instruct-dpo-lima-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Barryzbr12/qwen2.5-7b-instruct-dpo-lima-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/zhangbairui/project/New/assignment4/work/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Barryzbr12/qwen2.5-7b-instruct-dpo-lima-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 792ff21afc4f71289e6145067950efd3d75a5cd16fd468bf528c0e2b2872322f
- Size of remote file:
- 162 MB
- SHA256:
- 2166d52d109d9c2c6468ffb428c542765693c1ff01ecc3e398115c5a5fd43f29
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