Holocron

Holocron

A Gradio demo from frgfm for Holocron, a collection of recent computer vision techniques written in PyTorch, using the rexnet1_0x model. For people who want to try its image model in a browser.

Made by frgfm 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.

About

What it is: Holocron is a Gradio demo from frgfm. The Space describes the project as a collection of recent computer vision techniques written in PyTorch. It names one model, rexnet1_0x. The app code sits in a src folder and runs on basic CPU hardware at Hugging Face.

Who it suits: It suits computer vision developers and students who want to see a model from the Holocron project run on their own pictures.

Industry | Who uses it | How they use it | Example
Software | Computer vision developers | Try a Holocron model before adopting it | Give the demo a test picture
Education | Students | See a PyTorch vision model in a web app | Read src/gradio_app.py
Research | ML researchers | Look at a library's demo setup | Compare the demo with the library

You can skip it if you need a documented, full model zoo, since the Space names a single model.

Where to use it:

• A web browser, on the Space's page at Hugging Face
• Your own computer, on Windows, macOS or Linux

Use case | Who | What they get back
Try the demo model | Developers | The rexnet1_0x model's output for a picture
Study the app | Students | A small Gradio app in a src folder

How to set it up:

• Nothing to install if you use the Space online
• Python, if you run a copy on your own computer
• The Python packages in requirements.txt

1. Open the Space's page on Hugging Face to use it online.
2. To run a copy, install huggingface_hub and download the Space into a folder.
3. Move into that folder and install the pinned Gradio version, then the listed packages.
4. Start the app from the src folder with Python.

pip install -U huggingface_hub
hf download frgfm/Holocron --repo-type space --local-dir Holocron
cd Holocron
pip install gradio==5.43.1
pip install -r requirements.txt
python src/gradio_app.py

How to use it: Open the Space and give it a picture. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints.

python src/gradio_app.py

Example: Open the Space online and give it a clear photo of one object. You get back the model's output for that picture, though the README does not describe what form it takes.

For newcomers and experts: If you are new, open the Space online and try a clear photo with one subject. Plain pictures are the easiest case for any vision model.

If you know the field, the Space is a thin wrapper, with a src folder, a requirements file and a license file. It names the frgfm rexnet1_0x model, a ReXNet variant. The README gives no benchmarks or details on which techniques the demo shows.

You give the app a picture
The app loads the rexnet1_0x model
The model processes the image
The page shows the result

Good to know:

• License: apache-2
• Cost to run: none named. The online Space runs on Hugging Face.
• Data it reaches: the pictures you give it, and the model it names on Hugging Face.
• Limits: the Space names a single model and gives no accuracy or speed figures.

On Hugging Face, 13 November 2026

• Likes: 0
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/frgfm/Holocron
• Files: https://huggingface.co/spaces/frgfm/Holocron/tree/main

Try it

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.