Huashu Design
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Runs a Gradio demo of Lotis from fnnBsch, built on DINOv2 and DINOv3 models and a trained checkpoint. For people who want to try the model in a browser or read how it is wired.
Lotis Demo is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download fnnBsch/lotis-demo --repo-type space --local-dir lotis-demo cd lotis-demo
Lotis Demo is a Gradio demo from the fnnBsch account. It lists three models, two from facebook and one from fnnBsch's own weights repository. The repository also carries a trained file, final_model.pth, with its settings in final_config.yaml. The card gives no written description, so the page is the way to see what it does.
Researchers and students who want to try the Lotis model online, and developers who want to read how it sits on top of the DINO models it names.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Research | Machine learning researchers | Try the Lotis model on the sample inputs | Open the Space and pick one of the examples |
| Education | Students | See a model built on a pretrained backbone | Run the demo, then read app.py |
| Software | Developers | Study how the lotis package is wired to the app | Look through the lotis folder in a local copy |
If you need a documented tool, you can skip it, because the card does not describe the model.
The demo runs in these places:
| Use case | Who | What they get back |
|---|---|---|
| Try the model online | Curious visitors | Whatever the Gradio page returns for the input they give it |
| Study the code | Developers | An app file, a lotis package, an examples folder and the trained checkpoint |
| Run it locally | Researchers | The same Gradio demo on their own computer |
You need a few things first:
The steps download the Space, install Gradio at the version the Space uses, add the other packages and start the app.
pip install -U huggingface_hub hf download fnnBsch/lotis-demo --repo-type space --local-dir lotis-demo cd lotis-demo pip install gradio==6.5.1 pip install -r requirements.txt python app.py
Open the Space page on Hugging Face, or start the local copy with the last command above. Gradio serves a web page, and the examples folder suggests sample inputs you can try first.
python app.py
| Tool | What it does |
|---|---|
| hf download | Copies the Space's files into a folder on your computer |
| python app.py | Starts the demo on your own computer |
You open the Space page, choose one of the sample inputs and see what the model returns. The card does not list the exact inputs or outputs, so the page is the guide.
If you are new to this, open the Space page and try a sample input first. You do not need to install anything for that. A local copy is only worth the setup when you want to read the code.
If you know the field, the demo pairs a trained checkpoint with DINO models from facebook and from fnnBsch's own weights repository. The code lives in a lotis folder next to app.py, and the hosted Space runs on the zero-a10g hardware tier.
The card gives no list of inputs, outputs or limits.
Runs a Gradio demo of Lotis from fnnBsch, built on DINOv2 and DINOv3 models and a trained checkpoint. For people who want to try the model in a browser or read how it is wired.
Made by fnnBsch on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: Lotis Demo is a Gradio demo from the fnnBsch account. It lists three models, two from facebook and one from fnnBsch's own weights repository. The repository also carries a trained file, final_model.pth, with its settings in final_config.yaml. The card gives no written description, so the page is the way to see what it does.
Who it suits: Researchers and students who want to try the Lotis model online, and developers who want to read how it sits on top of the DINO models it names.
Industry | Who uses it | How they use it | Example
Research | Machine learning researchers | Try the Lotis model on the sample inputs | Open the Space and pick one of the examples
Education | Students | See a model built on a pretrained backbone | Run the demo, then read app.py
Software | Developers | Study how the lotis package is wired to the app | Look through the lotis folder in a local copy
If you need a documented tool, you can skip it, because the card does not describe the model.
Where to use it: The demo runs in these places:
Use case | Who | What they get back
Try the model online | Curious visitors | Whatever the Gradio page returns for the input they give it
Study the code | Developers | An app file, a lotis package, an examples folder and the trained checkpoint
Run it locally | Researchers | The same Gradio demo on their own computer
How to set it up: You need a few things first:
The steps download the Space, install Gradio at the version the Space uses, add the other packages and start the app.
pip install -U huggingface_hub
hf download fnnBsch/lotis-demo --repo-type space --local-dir lotis-demo
cd lotis-demo
pip install gradio==6.5.1
pip install -r requirements.txt
python app.py
How to use it: Open the Space page on Hugging Face, or start the local copy with the last command above. Gradio serves a web page, and the examples folder suggests sample inputs you can try first.
python app.py
Tool | What it does
hf download | Copies the Space's files into a folder on your computer
python app.py | Starts the demo on your own computer
Example: You open the Space page, choose one of the sample inputs and see what the model returns. The card does not list the exact inputs or outputs, so the page is the guide.
For newcomers and experts: If you are new to this, open the Space page and try a sample input first. You do not need to install anything for that. A local copy is only worth the setup when you want to read the code.
If you know the field, the demo pairs a trained checkpoint with DINO models from facebook and from fnnBsch's own weights repository. The code lives in a lotis folder next to app.py, and the hosted Space runs on the zero-a10g hardware tier.
You open the Space or run python app.py
A Gradio page takes your input
The Lotis checkpoint and DINO models run
The result shows on the page
Good to know: The card gives no list of inputs, outputs or limits.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
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| BLIPShares gradio | 431 | gradio | bsd-3-clause |
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