Instructions to use bboeun/sft2-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-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-Delayed2-ref-mistral-fix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7906f9d337a1329e500aa7d1be292e81c02977390463249fbded1271fb46e9fb
- Size of remote file:
- 27.3 MB
- SHA256:
- aa51f7a86be803dcbd620ed27e9606165d52b9ab30de7984a3dbed9790281c5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.