Mindket

voyage-4-nano WebGPU

Newversion 1 · updated

Overview

Runs the ONNX build of the voyage-4-nano model in a web browser with WebGPU and nothing to install, as a small static demo for developers who want to try it.

voyage-4-nano WebGPU is a kit in the Developer 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
  • Online use: a web browser, nothing to install
  • Local copy: Python with pip, on Windows, macOS or Linux
  • The Hugging Face hub package, which the first command installs
Runs in
  • A web browser: open the Space's page on Hugging Face
  • A browser with WebGPU support, going by the project's name
  • Windows, macOS or Linux, after downloading the files and opening index.html
Start with
pip install -U huggingface_hub
hf download webml-community/voyage-4-nano-webgpu --repo-type space --local-dir voyage-4-nano-webgpu

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a small browser page built around the voyage-4-nano model, in the ONNX form published by onnx-community. It runs in the browser with WebGPU, as its name says, and needs nothing installed. The README holds only a stock configuration note, so the page itself shows what the demo does.

Who it suits

Developers who want a small example of a model running in a web page will find it useful. People who only want to see voyage-4-nano in a browser can open it too.

IndustryWho uses itHow they use itExample
Web developmentFront-end developersOpen the page and its index.html to see how a browser app calls a modelReading a project with only a few files
Machine learningML engineersCheck how an ONNX model from onnx-community behaves in a browserTrying the model without setting up a local environment
Hobby projectsCurious buildersRun a model on their own graphics hardware from a web pageSeeing what in-browser AI feels like

If you need written feature docs, you can skip it, because the source gives none.

Where to use it

  • A web browser: open the Space's page on Hugging Face
  • A browser with WebGPU support, going by the project's name
  • Windows, macOS or Linux, after downloading the files and opening index.html
Use caseWhoWhat they get back
Run a model in the pageAnyone curiousThe page's output from voyage-4-nano
Study a small browser appWeb developersA short project that is mostly one HTML file
Check an ONNX modelML engineersA quick way to try the model in a browser

How to set it up

Online use needs only a browser. A local copy needs Python with pip.

  • Online use: a web browser, nothing to install
  • Local copy: Python with pip, on Windows, macOS or Linux
  • The Hugging Face hub package, which the first command installs
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder named after it.
  3. Open index.html in a web browser.
pip install -U huggingface_hub
hf download webml-community/voyage-4-nano-webgpu --repo-type space --local-dir voyage-4-nano-webgpu

How to use it

Open the Space's page, or the downloaded index.html, and use what the page shows. The source lists no commands or controls, so the page is the guide. Moving into the downloaded folder is the only command involved.

cd voyage-4-nano-webgpu

Example

You open the Space page in a browser with WebGPU. The page loads the model its files name and runs it on your graphics hardware. You then see whatever the page offers, since the source does not list its controls.

For newcomers and experts

A browser demo is a web page that does the work on your own computer. To try this one, open its Space page on Hugging Face and look at what it offers. Nothing needs installing.

The page is static HTML that works with the ONNX build of voyage-4-nano, and WebGPU gives it access to your graphics hardware. Speed then depends on that hardware. The trade-off is thin documentation, so you read index.html to see how the model is used.

  1. You open the Space page or index.html
  2. The browser loads the static page
  3. The page uses the named ONNX model
  4. WebGPU runs it on your graphics hardware

Good to know

  • License: apache-2, as listed on Hugging Face
  • Cost to run: none named
  • Data it reaches: it runs in your browser, and the source names no files, account or clipboard use
  • Not for: anyone who needs documentation, since the README holds only a stock configuration note
  • The source does not say what the model does in this page, so check the page itself

README and files

README

voyage-4-nano WebGPU

Runs the ONNX build of the voyage-4-nano model in a web browser with WebGPU and nothing to install, as a small static demo for developers who want to try it.

Made by webml-community 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: This Space is a small browser page built around the voyage-4-nano model, in the ONNX form published by onnx-community. It runs in the browser with WebGPU, as its name says, and needs nothing installed. The README holds only a stock configuration note, so the page itself shows what the demo does.

Who it suits: Developers who want a small example of a model running in a web page will find it useful. People who only want to see voyage-4-nano in a browser can open it too.

Industry | Who uses it | How they use it | Example
Web development | Front-end developers | Open the page and its index.html to see how a browser app calls a model | Reading a project with only a few files
Machine learning | ML engineers | Check how an ONNX model from onnx-community behaves in a browser | Trying the model without setting up a local environment
Hobby projects | Curious builders | Run a model on their own graphics hardware from a web page | Seeing what in-browser AI feels like

If you need written feature docs, you can skip it, because the source gives none.

Where to use it:

  • A web browser: open the Space's page on Hugging Face
  • A browser with WebGPU support, going by the project's name
  • Windows, macOS or Linux, after downloading the files and opening index.html
Use case | Who | What they get back
Run a model in the page | Anyone curious | The page's output from voyage-4-nano
Study a small browser app | Web developers | A short project that is mostly one HTML file
Check an ONNX model | ML engineers | A quick way to try the model in a browser

How to set it up: Online use needs only a browser. A local copy needs Python with pip.

  • Online use: a web browser, nothing to install
  • Local copy: Python with pip, on Windows, macOS or Linux
  • The Hugging Face hub package, which the first command installs
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder named after it.
  3. Open index.html in a web browser.
pip install -U huggingface_hub
hf download webml-community/voyage-4-nano-webgpu --repo-type space --local-dir voyage-4-nano-webgpu

How to use it: Open the Space's page, or the downloaded index.html, and use what the page shows. The source lists no commands or controls, so the page is the guide. Moving into the downloaded folder is the only command involved.

cd voyage-4-nano-webgpu

Example: You open the Space page in a browser with WebGPU. The page loads the model its files name and runs it on your graphics hardware. You then see whatever the page offers, since the source does not list its controls.

For newcomers and experts: A browser demo is a web page that does the work on your own computer. To try this one, open its Space page on Hugging Face and look at what it offers. Nothing needs installing.

The page is static HTML that works with the ONNX build of voyage-4-nano, and WebGPU gives it access to your graphics hardware. Speed then depends on that hardware. The trade-off is thin documentation, so you read index.html to see how the model is used.

You open the Space page or index.html
The browser loads the static page
The page uses the named ONNX model
WebGPU runs it on your graphics hardware

Good to know:

  • License: apache-2, as listed on Hugging Face
  • Cost to run: none named
  • Data it reaches: it runs in your browser, and the source names no files, account or clipboard use
  • Not for: anyone who needs documentation, since the README holds only a stock configuration note
  • The source does not say what the model does in this page, so check the page itself

On Hugging Face, 13 November 2026

  • Likes: 6
  • Built with: static
  • License: apache-2.0

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
voyage-4-nano WebGPU This page6staticapache-2.0
InferenceSupportShares static764staticafl-3.0
HuggyShares static463staticcc-by-nc-sa-4.0
Z-Image Lookalike LoRA IndexShares static189staticapache-2.0
Granite Docling 258M WebGPUShares static163staticapache-2.0
DINOv3 WebShares static162staticapache-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

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Developer

See all in Developer

Claude Code Skills & Plugins

alirezarezvani · Skill

Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…

New29.8k

buzz

block · Kit

Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…

New37.3k

plannotator

backnotprop · Kit

Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.

New10.5k