--- title: "YourMT3" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d5eb3cf3-4a7f-4a75-80f8-7f5ca05f9426" updated: "2026-11-12" --- # YourMT3 > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs the YourMT3 demo in a Gradio app. Its folder names point to turning audio into MIDI music transcription, and it suits people who work with music and audio models. YourMT3 is a kit in the Research 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 mimbres ## About ### What it is YourMT3 is a Gradio demo of a model with the same name, described in a paper on arXiv. The repository's amt and mid folders suggest automatic music transcription and MIDI files, although the source states no purpose in words. The Space names six models and runs on GPU hardware at Hugging Face. ### Who it suits Researchers and developers who work with music or audio models and want to try this one in a browser. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Music information researchers | Try the model on audio before a study | Run one of the included examples | | Software | Developers of music tools | Check what the model produces | Compare its output with their own pipeline | | Education | Students of audio machine learning | Study a model built on T5 and Perceiver parts | Read the amt folder | | Music | Musicians curious about AI tools | See what an audio model does | Try the examples folder | People who want a polished music app can skip it, since this is a research demo. ### Where to use it - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running | Use case | Who | What they get back | | --- | --- | --- | | Try the model | Researchers | The output of the YourMT3 demo | | Study the code | Developers | A model package with helper files | ### How to set it up - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 4.39.0, 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 mimbres/YourMT3 --repo-type space --local-dir YourMT3 cd YourMT3 pip install gradio==4.39.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, visit the Space on Hugging Face and pick an example or add your own audio, if the page offers it. 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 | | model\_helper.py | Holds helper code for the model | | html\_helper.py | Holds helper code for the page | | examples | Holds sample files to try | ### Example You visit the Space, choose one of the included examples and run it. You look at what the model returns for that sample. ### For newcomers and experts If you are new, start with an included example so you do not need your own file. Then read the paper linked from the Space for the purpose of the model. If you know the field, the Space lists an audio encoder from Facebook, a Perceiver from DeepMind, three small T5 models from Google and the YourMT3 weights from mimbres. That mix of an audio encoder, a Perceiver and T5 models fits a sequence-to-sequence design, but the source does not describe the architecture. The trade-off is a GPU requirement. You pick an example or add audio → The audio models process it → The sequence models produce a result → You review the output ### Good to know - Purpose: the source gives only a paper reference and folder names, so read the paper for details - Hardware: the Space is set to zero-a10g - Models: it names six models on Hugging Face - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the audio you give it and the models it fetches from Hugging Face ## README ````markdown # YourMT3 Runs the YourMT3 demo in a Gradio app. Its folder names point to turning audio into MIDI music transcription, and it suits people who work with music and audio models. Made by mimbres 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: YourMT3 is a Gradio demo of a model with the same name, described in a paper on arXiv. The repository's amt and mid folders suggest automatic music transcription and MIDI files, although the source states no purpose in words. The Space names six models and runs on GPU hardware at Hugging Face. Who it suits: Researchers and developers who work with music or audio models and want to try this one in a browser. ```table Industry | Who uses it | How they use it | Example Research | Music information researchers | Try the model on audio before a study | Run one of the included examples Software | Developers of music tools | Check what the model produces | Compare its output with their own pipeline Education | Students of audio machine learning | Study a model built on T5 and Perceiver parts | Read the amt folder Music | Musicians curious about AI tools | See what an audio model does | Try the examples folder ``` People who want a polished music app can skip it, since this is a research demo. Where to use it: - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running ```table Use case | Who | What they get back Try the model | Researchers | The output of the YourMT3 demo Study the code | Developers | A model package with helper files ``` How to set it up: - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 4.39.0, 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 mimbres/YourMT3 --repo-type space --local-dir YourMT3 cd YourMT3 pip install gradio==4.39.0 pip install -r requirements.txt python app.py ``` How to use it: Online, visit the Space on Hugging Face and pick an example or add your own audio, if the page offers it. 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 model_helper.py | Holds helper code for the model html_helper.py | Holds helper code for the page examples | Holds sample files to try ``` Example: You visit the Space, choose one of the included examples and run it. You look at what the model returns for that sample. For newcomers and experts: If you are new, start with an included example so you do not need your own file. Then read the paper linked from the Space for the purpose of the model. If you know the field, the Space lists an audio encoder from Facebook, a Perceiver from DeepMind, three small T5 models from Google and the YourMT3 weights from mimbres. That mix of an audio encoder, a Perceiver and T5 models fits a sequence-to-sequence design, but the source does not describe the architecture. The trade-off is a GPU requirement. ```flow You pick an example or add audio The audio models process it The sequence models produce a result You review the output ``` Good to know: - Purpose: the source gives only a paper reference and folder names, so read the paper for details - Hardware: the Space is set to zero-a10g - Models: it names six models on Hugging Face - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the audio you give it and the models it fetches from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 133 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/mimbres/YourMT3 - Files: https://huggingface.co/spaces/mimbres/YourMT3/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 [mimbres/YourMT3 on Hugging Face](https://huggingface.co/spaces/mimbres/YourMT3) ## 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 | | --- | --- | --- | --- | --- | | YourMT3 (this page) | 133 | gradio | apache-2.0 | 2025-01-31 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2025-01-31 - First published: 2024-07-31 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mimbres/YourMT3 on Hugging Face](https://huggingface.co/spaces/mimbres/YourMT3) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d5eb3cf3-4a7f-4a75-80f8-7f5ca05f9426) - [Its page on Mindket](https://mindket.com/p/d5eb3cf3-4a7f-4a75-80f8-7f5ca05f9426)