--- title: "Ming-3.0-tts-0.5B" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/55d1ab7a-6890-4eda-a1ee-206b35704a70" updated: "2026-11-12" --- # Ming-3.0-tts-0.5B > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns text into speech in several languages, with voice cloning and voice design, in a Gradio demo of the Ming-3.0-tts-0.5B model. Ming-3.0-tts-0.5B 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 hugging-apps ## About ### What it is Ming-3.0-tts-0.5B is a Gradio demo of the model inclusionAI/Ming-3.0-tts-0.5B. It does multilingual text-to-speech and offers voice cloning and voice design. The demo runs on GPU hardware at Hugging Face and carries an MCP label. ### Who it suits People who want to hear synthetic speech in several languages, shape a voice, or copy one from a clip. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Media | Video and audio creators | Make narration in more than one language | Generate a voice-over for a short clip | | Software | Developers of voice features | Try a small speech model before using it | Run the example reference clips | | Research | Speech researchers | Compare cloning and voice design | Read tts\_tasks.py and ming\_tts.py | | Education | Language teachers | Hear text read in a given language | Play a short sentence aloud | People who need a polished studio product can skip it, since this is a demo. ### Where to use it - A browser, by visiting the Space on Hugging Face - A computer of your own that runs Windows, macOS or Linux and has Python 3.12 - An MCP client, since the Space carries the MCP label, although the source gives no connection steps | Use case | Who | What they get back | | --- | --- | --- | | Read text aloud | Creators | Speech in one of the supported languages | | Clone a voice | Developers | Speech that follows a reference clip | | Design a voice | Researchers | A new voice shaped from a description | ### How to set it up - Python 3.12 and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.30.0, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download hugging-apps/ming-3-tts-05b --repo-type space --local-dir ming-3-tts-05b cd ming-3-tts-05b pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, visit the Space on Hugging Face and use the interface that appears. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | Starts the Gradio interface | | ming\_tts.py | Holds the speech generation code | | tts\_tasks.py | Holds the task definitions for speech jobs | | voices.json | Lists voices the demo can use | | examples | Holds example reference clips | ### Example You type a short sentence and pick one of the example voices from the demo. The Space generates the speech and plays it back so you can compare voices. ### For newcomers and experts If you are new, start with one example voice and a short sentence. That shows what the model sounds like before you try cloning or design. If you know the field, the inference code is vendored from the official Ming-3.0-tts project, which is MIT licensed, and the example reference clips come from the same place. The repository also holds an audio tokenizer, a speaker embedding extractor and a prompt contract file. The trade-off is a GPU requirement. You enter text and choose a voice → The speaker embedding is prepared → ming\_tts.py generates the speech → You listen to the audio ### Good to know - Hardware: the Space is set to zero-a10g - Code origin: inference code comes from the official project and is MIT licensed - License: mit - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the text and clips you give it, plus the model it fetches from Hugging Face ## README ````markdown # Ming-3.0-tts-0.5B Turns text into speech in several languages, with voice cloning and voice design, in a Gradio demo of the Ming-3.0-tts-0.5B model. Made by hugging-apps 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-3.0-tts-0.5B is a Gradio demo of the model inclusionAI/Ming-3.0-tts-0.5B. It does multilingual text-to-speech and offers voice cloning and voice design. The demo runs on GPU hardware at Hugging Face and carries an MCP label. Who it suits: People who want to hear synthetic speech in several languages, shape a voice, or copy one from a clip. ```table Industry | Who uses it | How they use it | Example Media | Video and audio creators | Make narration in more than one language | Generate a voice-over for a short clip Software | Developers of voice features | Try a small speech model before using it | Run the example reference clips Research | Speech researchers | Compare cloning and voice design | Read tts_tasks.py and ming_tts.py Education | Language teachers | Hear text read in a given language | Play a short sentence aloud ``` People who need a polished studio product can skip it, since this is a demo. Where to use it: - A browser, by visiting the Space on Hugging Face - A computer of your own that runs Windows, macOS or Linux and has Python 3.12 - An MCP client, since the Space carries the MCP label, although the source gives no connection steps ```table Use case | Who | What they get back Read text aloud | Creators | Speech in one of the supported languages Clone a voice | Developers | Speech that follows a reference clip Design a voice | Researchers | A new voice shaped from a description ``` How to set it up: - Python 3.12 and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.30.0, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download hugging-apps/ming-3-tts-05b --repo-type space --local-dir ming-3-tts-05b cd ming-3-tts-05b pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` How to use it: Online, visit the Space on Hugging Face and use the interface that appears. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` ```table Tool | What it does app.py | Starts the Gradio interface ming_tts.py | Holds the speech generation code tts_tasks.py | Holds the task definitions for speech jobs voices.json | Lists voices the demo can use examples | Holds example reference clips ``` Example: You type a short sentence and pick one of the example voices from the demo. The Space generates the speech and plays it back so you can compare voices. For newcomers and experts: If you are new, start with one example voice and a short sentence. That shows what the model sounds like before you try cloning or design. If you know the field, the inference code is vendored from the official Ming-3.0-tts project, which is MIT licensed, and the example reference clips come from the same place. The repository also holds an audio tokenizer, a speaker embedding extractor and a prompt contract file. The trade-off is a GPU requirement. ```flow You enter text and choose a voice The speaker embedding is prepared ming_tts.py generates the speech You listen to the audio ``` Good to know: - Hardware: the Space is set to zero-a10g - Code origin: inference code comes from the official project and is MIT licensed - License: mit - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the text and clips you give it, plus the model it fetches from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 17 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/hugging-apps/ming-3-tts-05b - Files: https://huggingface.co/spaces/hugging-apps/ming-3-tts-05b/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 [hugging-apps/ming-3-tts-05b on Hugging Face](https://huggingface.co/spaces/hugging-apps/ming-3-tts-05b) ## 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-3.0-tts-0.5B (this page) | 17 | gradio | mit | 2026-10-19 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | | [FLUX.1 Kontext](https://mindket.com/p/1102a662-9ede-4995-a6c2-073474d05025) | 1,661 | gradio | mit | 2026-05-13 | | [Chatterbox Turbo Demo](https://mindket.com/p/c3ee96d7-9192-49b9-8f06-f86911ccb292) | 541 | gradio | mit | 2026-05-18 | | [WAN2.2 I2V LIGHTNING-Video-4-8step](https://mindket.com/p/06f4135f-3cca-470c-a619-71fc37f8b6cf) | 425 | gradio | apache-2.0 | 2026-08-13 | 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: 2026-10-19 - First published: 2026-10-19 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hugging-apps/ming-3-tts-05b on Hugging Face](https://huggingface.co/spaces/hugging-apps/ming-3-tts-05b) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/55d1ab7a-6890-4eda-a1ee-206b35704a70) - [Its page on Mindket](https://mindket.com/p/55d1ab7a-6890-4eda-a1ee-206b35704a70)