Ming-3.0-tts-0.5B

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.

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.

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.

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

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.