--- title: "ming-wasm" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/1a8af6a8-df2c-41af-b503-eeec78c64078" updated: "2026-11-12" --- # ming-wasm > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns text into speech with the Ming-3.0-tts-0.5B model running on your own CPU inside the browser. For people who want speech from text without sending it to a server. ming-wasm is a kit in the Productivity 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 fusorlabs ## About ### What it is ming-wasm is a text-to-speech page that runs the Ming-3.0-tts-0.5B model inside your browser. The model is compiled to WebAssembly and works on your own CPU. It downloads once, about 850 MB, and after that it runs sealed from the network. ### Who it suits People who want to turn text into speech without a server doing the work. It also suits developers who want to see how a speech model can be compiled to WebAssembly and shipped as a static page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Writers and video makers | Hear a draft read aloud | Type a short passage and play it back | | Accessibility | People who prefer listening | Have text read to them on their own machine | Paste a paragraph and listen | | Software | Developers | Study a model compiled to WebAssembly | Read the engine folder in a local copy | If you have a slow connection or little free disk space, you can skip it, since the first load is large. ### Where to use it The page works in these places: - A web browser: open the Space page on Hugging Face and use it there. - Windows, macOS or Linux: download the files and open index.html in a browser. | Use case | Who | What they get back | | --- | --- | --- | | Hear text read aloud | Anyone | Speech made on your own CPU | | Work offline after loading | Privacy-minded users | A model that runs with no network use once downloaded | | Study the build | Developers | A static page with an engine folder and brand files | ### How to set it up Using the page online needs nothing. For a local copy you need a few things: - Python with pip, to fetch the files - The huggingface\_hub package, which the first command installs - A web browser and room for the one-time model download of about 850 MB The steps download the Space and then open its main page by hand. 1. Install the Hugging Face package. 2. Download the Space into a folder called ming-wasm. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download fusorlabs/ming-wasm --repo-type space --local-dir ming-wasm cd ming-wasm ``` ### How to use it Open the page, let the model finish its one-time download, then give it text and play the speech it makes. After the download, the model needs no network. | Tool | What it does | | --- | --- | | index.html | The page that loads the model and plays the speech | | hf download | Copies the Space's files into a folder on your computer | ### Example You open the page and wait for the model to download, which happens only once. You then type a sentence, and the page speaks it using your own CPU, with no server involved. ### For newcomers and experts If you are new to this, open the page and be patient on the first visit, because the model is large. After that, it starts faster since the download is done. You need no technical background to try it. If you know the field, the Space names inclusionAI's Ming-3.0-tts-0.5B and a web build of it from fusorlabs. The model is compiled to WebAssembly, and the repository keeps an engine folder beside index.html and app.css. It runs on the CPU, with no GPU and no backend. You open the static page → The model downloads once, about 850 MB → The model runs on your CPU in WebAssembly → Speech plays with no network use ### Good to know The first visit needs a large download. Later visits do not. - License: mit, as the Space lists it. - Cost to run: none named. The model download is about 850 MB. - Data it reaches: the one-time model download. After that, the model runs sealed from the network. - Not for: low-bandwidth connections, since the first load is about 850 MB. ## README ````markdown # ming-wasm Turns text into speech with the Ming-3.0-tts-0.5B model running on your own CPU inside the browser. For people who want speech from text without sending it to a server. Made by fusorlabs 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: ming-wasm is a text-to-speech page that runs the Ming-3.0-tts-0.5B model inside your browser. The model is compiled to WebAssembly and works on your own CPU. It downloads once, about 850 MB, and after that it runs sealed from the network. Who it suits: People who want to turn text into speech without a server doing the work. It also suits developers who want to see how a speech model can be compiled to WebAssembly and shipped as a static page. ```table Industry | Who uses it | How they use it | Example Content creation | Writers and video makers | Hear a draft read aloud | Type a short passage and play it back Accessibility | People who prefer listening | Have text read to them on their own machine | Paste a paragraph and listen Software | Developers | Study a model compiled to WebAssembly | Read the engine folder in a local copy ``` If you have a slow connection or little free disk space, you can skip it, since the first load is large. Where to use it: The page works in these places: - A web browser: open the Space page on Hugging Face and use it there. - Windows, macOS or Linux: download the files and open index.html in a browser. ```table Use case | Who | What they get back Hear text read aloud | Anyone | Speech made on your own CPU Work offline after loading | Privacy-minded users | A model that runs with no network use once downloaded Study the build | Developers | A static page with an engine folder and brand files ``` How to set it up: Using the page online needs nothing. For a local copy you need a few things: - Python with pip, to fetch the files - The huggingface_hub package, which the first command installs - A web browser and room for the one-time model download of about 850 MB The steps download the Space and then open its main page by hand. 1. Install the Hugging Face package. 2. Download the Space into a folder called ming-wasm. 3. Move into that folder. 4. Open index.html in your browser. ```sh pip install -U huggingface_hub hf download fusorlabs/ming-wasm --repo-type space --local-dir ming-wasm cd ming-wasm ``` How to use it: Open the page, let the model finish its one-time download, then give it text and play the speech it makes. After the download, the model needs no network. ```table Tool | What it does index.html | The page that loads the model and plays the speech hf download | Copies the Space's files into a folder on your computer ``` Example: You open the page and wait for the model to download, which happens only once. You then type a sentence, and the page speaks it using your own CPU, with no server involved. For newcomers and experts: If you are new to this, open the page and be patient on the first visit, because the model is large. After that, it starts faster since the download is done. You need no technical background to try it. If you know the field, the Space names inclusionAI's Ming-3.0-tts-0.5B and a web build of it from fusorlabs. The model is compiled to WebAssembly, and the repository keeps an engine folder beside index.html and app.css. It runs on the CPU, with no GPU and no backend. ```flow You open the static page The model downloads once, about 850 MB The model runs on your CPU in WebAssembly Speech plays with no network use ``` Good to know: The first visit needs a large download. Later visits do not. - License: mit, as the Space lists it. - Cost to run: none named. The model download is about 850 MB. - Data it reaches: the one-time model download. After that, the model runs sealed from the network. - Not for: low-bandwidth connections, since the first load is about 850 MB. ## On Hugging Face, 13 November 2026 - Likes: 3 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/fusorlabs/ming-wasm - Files: https://huggingface.co/spaces/fusorlabs/ming-wasm/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 [fusorlabs/ming-wasm on Hugging Face](https://huggingface.co/spaces/fusorlabs/ming-wasm) ## 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 | | --- | --- | --- | --- | --- | | ming-wasm (this page) | 3 | static | mit | 2026-10-20 | | [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 | | [Kokoro Text-to-Speech (WebGPU)](https://mindket.com/p/36564f95-9b3e-4afc-b692-e8cc4e3e17b3) | 369 | static | apache-2.0 | 2025-02-07 | | [DALL·E mini by flax-community](https://mindket.com/p/e6eb151b-ffc3-43e4-bc6c-32f3d2f4d406) | 342 | static | apache-2.0 | 2022-07-19 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [XortronDesktop](https://mindket.com/p/22e87219-d97a-4109-81bd-4e7dbc8faa2f) | 30 | static | wtfpl | 2026-03-18 | 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: 2026-10-20 - First published: 2026-10-20 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open fusorlabs/ming-wasm on Hugging Face](https://huggingface.co/spaces/fusorlabs/ming-wasm) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/1a8af6a8-df2c-41af-b503-eeec78c64078) - [Its page on Mindket](https://mindket.com/p/1a8af6a8-df2c-41af-b503-eeec78c64078)