Instructions to use bboeun/sft2-2k-Delayed2-ref-mistral-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bboeun/sft2-2k-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/sft2-2k-Delayed2-ref-mistral-fix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 797631cfafe35b6c09bca6119043e85daa8bc61657bdb49d6864ba0f90672c9c
- Size of remote file:
- 4.54 kB
- SHA256:
- 109454c2f06f845d218894aa951b44b18826219dd662d40262fc6de7e47b5e56
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.