--- title: "Holocron" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/c80d9cde-95b4-4082-85cb-3af2f6c55446" updated: "2026-11-12" --- # Holocron > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Holocron is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by frgfm ## 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. ```sh 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. ```sh 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. ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [frgfm/Holocron on Hugging Face](https://huggingface.co/spaces/frgfm/Holocron) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Holocron (this page) | 0 | gradio | apache-2.0 | 2025-10-29 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-10-29 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open frgfm/Holocron on Hugging Face](https://huggingface.co/spaces/frgfm/Holocron) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/c80d9cde-95b4-4082-85cb-3af2f6c55446) - [Its page on Mindket](https://mindket.com/p/c80d9cde-95b4-4082-85cb-3af2f6c55446)