Instructions to use bytedance-research/UNO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bytedance-research/UNO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="bytedance-research/UNO")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bytedance-research/UNO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Change to Free Software license instead of Creative Commons Attribution Non Commercial No Derivatives 4.0
It is very sad to see that this model is published on the proprietary license. Why don't you consider publishing it on the free software license, just as those companies? Qwen, DeepSeek, IBM, Mistral, Microsoft, AllenAI?
Various Licenses and Comments about Them - GNU Project - Free Software Foundation
https://www.gnu.org/licenses/license-list.html
What is Free Software? - GNU Project - Free Software Foundation
https://www.gnu.org/philosophy/free-sw.html
I was actually about to comment the same! ^_^
Maybe something for the devs to consider β a more permissive license like Apache or MIT could help encourage more community contributions and wider adoption :)
Second that
Hello, we have changed the license, hoping this will help you.