Instructions to use Zrald/GE-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zrald/GE-Mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Zrald/GE-Mistral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73684007f221323a488a24a451971b76685d6d974a231ad331470df4176cbcd9
- Size of remote file:
- 457 MB
- SHA256:
- cc0630af740b4cfa4bda99fdeea234567d17506beb38ccf685c24f276ad478a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.