Instructions to use Incomple/Qwen2.5-7B_sft_sg_values with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/Qwen2.5-7B_sft_sg_values with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Incomple/Qwen2.5-7B_sft_sg_values") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 121e8cc1127f0897bc5bc67a68c11e797efc3c564dc41fbccc6cf1f54c9ce69f
- Size of remote file:
- 80.8 MB
- SHA256:
- 2c6529fc30303dff3f4b1e9e488d0da13518f5bc6ca0d687cbe235bc45c4d42f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.