Text Generation
PEFT
Safetensors
Nuosu
Chinese
English
qwen3
nuosu
standard-liangshan-yi
translation
lora
research
conversational
Instructions to use NiceAsiv/Qwen3-1.7B-Base-Nuosu-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NiceAsiv/Qwen3-1.7B-Base-Nuosu-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B-Base") model = PeftModel.from_pretrained(base_model, "NiceAsiv/Qwen3-1.7B-Base-Nuosu-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e01fad311135abd369da7a7ddfc82d5e60f556015412f10fd3f53adce4526391
- Size of remote file:
- 140 MB
- SHA256:
- 947949cf559164c62c61c00d42744179463dd123e2b7632a94b77487bcaee038
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.