Mindket

Browser

Newversion 1 · updated

Overview

Browses a catalogue of models on a static page, with a gallery, thumbnails, tags and a comparison script. For people who want to look through the collection in the browser.

Browser 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.

At a glance

You need
  • A web browser
  • Python and pip, only for a local copy
  • Windows, macOS or Linux for the local copy
Runs in
  • A web browser, on the Space's page at Hugging Face
  • A local copy of the files on Windows, macOS or Linux, opened from index.html
Start with
pip install -U huggingface_hub
hf download malcolmrey/browser --repo-type space --local-dir browser
cd browser

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Browser, titled Model Browser on its page, is a static web page for looking through a collection of models. Its repository holds many data files, a gallery page and a comparison script. It names one dataset, malcolmrey/samples. You can open it in the browser with nothing to install.

Who it suits

It suits people who want to look through a model collection in one place, and developers who want to see how a data-driven static page is organised.

IndustryWho uses itHow they use itExample
AI artHobbyistsLook through a collection of modelsOpen the gallery page
ResearchAnalystsStudy how models are described and taggedRead the tag and profile data files
Web developmentFront-end developersSee how a static page is driven by data filesRead comparator.js and index.html
CurationCollection maintainersCheck how thumbnails and links are organisedLook at the thumbnail data files

Skip it if you need documentation, since the record gives only the page title and its file list.

Where to use it

  • A web browser, on the Space's page at Hugging Face
  • A local copy of the files on Windows, macOS or Linux, opened from index.html
Use caseWhoWhat they get back
Browse the collectionHobbyistsA page of models with thumbnails
Compare entriesAnalystsA comparison view from the comparator script
Study the dataDevelopersJSON and script data files you can read

How to set it up

The online page needs nothing. Python is needed only to fetch the files for a local copy.

  • A web browser
  • Python and pip, only for a local copy
  • Windows, macOS or Linux for the local copy
  1. Install the Hugging Face hub library.
  2. Download the Space's files into a folder named browser.
  3. Move into that folder.
  4. Load index.html in a web browser.
pip install -U huggingface_hub
hf download malcolmrey/browser --repo-type space --local-dir browser
cd browser

How to use it

Open the Space's page and look through what it shows. The source does not describe the controls, so use whatever the page offers. The repository also has a separate gallery page.

cd browser

Run that from the folder where you downloaded the files, then load index.html in your browser.

Example

You open the page and look through the entries, then open the gallery page to see the pictures in a larger layout.

For newcomers and experts

Open the page and scroll through it. Nothing needs installing, and everything runs in the browser.

The page is static HTML driven by data files, in both script and JSON form. The repository holds data files named for filenames, thumbnails, people profiles, tags, classifications and links. It also holds files with Hugging Face and Civitai in their names. A comparator script and a gallery page sit beside index.html. The record does not describe how these files fit together.

  1. Open index.html
  2. The page reads its data files
  3. Entries show with thumbnails and tags
  4. Open the gallery or compare entries

Good to know

  • Gaps: The source gives only a title and a file list, so the contents and rules of the collection are not described here.
  • License: cc0-1.
  • Cost to run: none named.
  • Data it reaches: The data files in the repository. The record names one dataset, malcolmrey/samples.

README and files

README

Browser

Browses a catalogue of models on a static page, with a gallery, thumbnails, tags and a comparison script. For people who want to look through the collection in the browser.

Made by malcolmrey 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: Browser, titled Model Browser on its page, is a static web page for looking through a collection of models. Its repository holds many data files, a gallery page and a comparison script. It names one dataset, malcolmrey/samples. You can open it in the browser with nothing to install.

Who it suits: It suits people who want to look through a model collection in one place, and developers who want to see how a data-driven static page is organised.

Industry | Who uses it | How they use it | Example
AI art | Hobbyists | Look through a collection of models | Open the gallery page
Research | Analysts | Study how models are described and tagged | Read the tag and profile data files
Web development | Front-end developers | See how a static page is driven by data files | Read comparator.js and index.html
Curation | Collection maintainers | Check how thumbnails and links are organised | Look at the thumbnail data files

Skip it if you need documentation, since the record gives only the page title and its file list.

Where to use it:

  • A web browser, on the Space's page at Hugging Face
  • A local copy of the files on Windows, macOS or Linux, opened from index.html
Use case | Who | What they get back
Browse the collection | Hobbyists | A page of models with thumbnails
Compare entries | Analysts | A comparison view from the comparator script
Study the data | Developers | JSON and script data files you can read

How to set it up: The online page needs nothing. Python is needed only to fetch the files for a local copy.

  • A web browser
  • Python and pip, only for a local copy
  • Windows, macOS or Linux for the local copy
  1. Install the Hugging Face hub library.
  2. Download the Space's files into a folder named browser.
  3. Move into that folder.
  4. Load index.html in a web browser.
pip install -U huggingface_hub
hf download malcolmrey/browser --repo-type space --local-dir browser
cd browser

How to use it: Open the Space's page and look through what it shows. The source does not describe the controls, so use whatever the page offers. The repository also has a separate gallery page.

cd browser

Run that from the folder where you downloaded the files, then load index.html in your browser.

Example: You open the page and look through the entries, then open the gallery page to see the pictures in a larger layout.

For newcomers and experts: Open the page and scroll through it. Nothing needs installing, and everything runs in the browser.

The page is static HTML driven by data files, in both script and JSON form. The repository holds data files named for filenames, thumbnails, people profiles, tags, classifications and links. It also holds files with Hugging Face and Civitai in their names. A comparator script and a gallery page sit beside index.html. The record does not describe how these files fit together.

Open index.html
The page reads its data files
Entries show with thumbnails and tags
Open the gallery or compare entries

Good to know:

  • Gaps: The source gives only a title and a file list, so the contents and rules of the collection are not described here.
  • License: cc0-1.
  • Cost to run: none named.
  • Data it reaches: The data files in the repository. The record names one dataset, malcolmrey/samples.

On Hugging Face, 13 November 2026

  • Likes: 533
  • Built with: static
  • License: cc0-1.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Browser This page533staticcc0-1.0
Arena LeaderboardShares static5,039staticapache-2.0
Model PulseShares static214staticapache-2.0
MTEB-BR LeaderboardShares static126staticapache-2.0
Hub StatsShares static65staticapache-2.0
NTv3 Foundation Models for GenomicsShares static38staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

Nanosaur2-670M

well9472 · Kit

Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…

New

Reads handwritten Arabic text from images and returns it as text. A fine-tuned PaddleOCR-VL model for people digitizing Arabic handwriting.

New

Makes video clips from a text prompt or an image plus text, at up to 720P and 24 frames per second, in the Diffusers format for a single consumer GPU.

New

Similar in Research

See all in Research

REMEND

udiboy1209 · Kit

Recovers math equations from compiled binary code with a small neural decompiler, and ships the datasets and trained models from its paper. For reverse enginee…

New

Drishya Tiny

udgamlabs · Kit

Turns a text prompt, or a prompt plus a first frame, into a 2-second 256×256 video clip with a 212M-parameter generator. A small research release that does bes…

New

monoyield-predictor

Tsuboyama-Lab · Kit

Predicts how much of a protein sequence E. coli will make as a single-unit monomer, in log10 mg/L. Trained LoRA adapters and regression heads for ESMC-6B and S…

New