Instructions to use valoomba/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valoomba/lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "valoomba/lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bbedb516ca7d41803fe5e375c027482c446c749da45ffc2c729145a20af467b
- Size of remote file:
- 274 MB
- SHA256:
- f89bb4f12f1bc27da4b337212804d8fbe0d4d436638a7a785f9b382734e8738c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.