Instructions to use Howard881010/combined_sft_10000_mcq_2epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Howard881010/combined_sft_10000_mcq_2epoch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Howard881010/combined_sft_10000_mcq_2epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b16f168c143ab84e24c70c2009e9cbd8416b735b67b8db1f185ddc0f025177f6
- Size of remote file:
- 1.06 kB
- SHA256:
- 7f484ce3cd028a8d752f7a8e6440cf1416758e5c6b5629444bc7a23a504829a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.