Instructions to use bboeun/dpo2-Delayed2-ref-mistral-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bboeun/dpo2-Delayed2-ref-mistral-fix with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "bboeun/dpo2-Delayed2-ref-mistral-fix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70c4e07cafd3d1fc676156dfab3f4b18547a71be83677498ea923a86d1d9df13
- Size of remote file:
- 5.84 kB
- SHA256:
- 3cbaa6ee6c9f86e3461d9c4f8242163de1af0eb7ef343d012adff1001c92f0c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.