Instructions to use build-small-hackathon/facade-of-jade-qwen3-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use build-small-hackathon/facade-of-jade-qwen3-4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "build-small-hackathon/facade-of-jade-qwen3-4b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29b4ccbbb9dd4805278884b2f67830235a578d2599c4ff63b4b15ebaae2763f3
- Size of remote file:
- 47.2 MB
- SHA256:
- 93332864bb04e71caf46e1b3954a34e0863675f3232e510dc640846fce819222
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.