Mindket

E MiYu

Newversion 1 · updated

Overview

Runs a Gradio app that names the google/gemma-4-12B-it and E_MiYu models and ships a training data file, in the browser or on your own computer. The README gives no description, so what it does is not stated.

E MiYu 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
  • Python 3.12
  • The pip command, to install packages
  • Enough disk space for the Space's files, its Python packages and the models it loads
Runs in
  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python 3.12
Start with
pip install -U huggingface_hub
hf download yukimama/E_MiYu --repo-type space --local-dir E_MiYu
cd E_MiYu

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

E MiYu is a Gradio app on Hugging Face Spaces, made by yukimama. It names two models, google/gemma-4-12B-it and yukimama/E_MiYu, and its repository holds a training_data.jsonl file beside app.py. The README holds only Hugging Face's default pointer to the configuration docs. The files hint that E_MiYu may be a customized chat model, but the source never says so.

Who it suits

Developers and AI hobbyists who want to try this Space or see how a small model demo sits next to its training data. The table below shows rough fits, judged from the model names and files only.

IndustryWho uses itHow they use itExample
Software developmentPython developersRead app.py to see how the models are loaded and calledRunning a local copy to see how it behaves
AI researchModel hobbyistsTry the online page to see how the model repliesChecking a few prompts and the answers
EducationLearnersLook at a training data file next to a demo appOpening training_data.jsonl to see its layout

Anyone who needs a documented model with stated uses and limits can skip it, because the README explains neither.

Where to use it

  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python 3.12
Use caseWhoWhat they get back
Try the app onlineAnyone curiousA Gradio page in the browser, with nothing to install
Run a private copyDevelopersThe same app on their own machine
Study the codeLearnersAn app.py, a requirements.txt and a training data file to read

How to set it up

  • Python 3.12
  • The pip command, to install packages
  • Enough disk space for the Space's files, its Python packages and the models it loads
  1. Install the Hugging Face hub package.
  2. Download the Space into a local folder named E_MiYu.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download yukimama/E_MiYu --repo-type space --local-dir E_MiYu
cd E_MiYu
pip install gradio==6.22.0
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the E_MiYu folder and follow what the app presents.

python app.py
ToolWhat it does
app.pyThe main file that starts the Gradio app
requirements.txtLists the Python packages the app needs
training_data.jsonlA data file in the repository, its use is not explained

Example

You run the six setup commands on a machine with Python 3.12. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.

For newcomers and experts

If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.

If you know the field, the app uses Gradio 6.22.0 on Python 3.12, with app.py as the entry point and zero-a10g hardware listed at Hugging Face. Read both named model cards for size and limits, and check app.py for how training_data.jsonl is used.

  1. Install packages from requirements.txt
  2. Start app.py with Python 3.12
  3. The app loads the models it names
  4. Gradio serves the app as a web page

Good to know

  • Documentation: the README gives no description, so every claim here comes from the model names, file names and Hugging Face's own record
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the source names a training data file and does not say what else it reads, so check app.py
  • Not for: the source names nothing it forbids or does not do

README and files

README

E MiYu

Runs a Gradio app that names the google/gemma-4-12B-it and E_MiYu models and ships a training data file, in the browser or on your own computer. The README gives no description, so what it does is not stated.

Made by yukimama 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: E MiYu is a Gradio app on Hugging Face Spaces, made by yukimama. It names two models, google/gemma-4-12B-it and yukimama/E_MiYu, and its repository holds a training_data.jsonl file beside app.py. The README holds only Hugging Face's default pointer to the configuration docs. The files hint that E_MiYu may be a customized chat model, but the source never says so.

Who it suits: Developers and AI hobbyists who want to try this Space or see how a small model demo sits next to its training data. The table below shows rough fits, judged from the model names and files only.

Industry | Who uses it | How they use it | Example
Software development | Python developers | Read app.py to see how the models are loaded and called | Running a local copy to see how it behaves
AI research | Model hobbyists | Try the online page to see how the model replies | Checking a few prompts and the answers
Education | Learners | Look at a training data file next to a demo app | Opening training_data.jsonl to see its layout

Anyone who needs a documented model with stated uses and limits can skip it, because the README explains neither.

Where to use it:

  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python 3.12
Use case | Who | What they get back
Try the app online | Anyone curious | A Gradio page in the browser, with nothing to install
Run a private copy | Developers | The same app on their own machine
Study the code | Learners | An app.py, a requirements.txt and a training data file to read

How to set it up:

  • Python 3.12
  • The pip command, to install packages
  • Enough disk space for the Space's files, its Python packages and the models it loads
  1. Install the Hugging Face hub package.
  2. Download the Space into a local folder named E_MiYu.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download yukimama/E_MiYu --repo-type space --local-dir E_MiYu
cd E_MiYu
pip install gradio==6.22.0
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the E_MiYu folder and follow what the app presents.

python app.py
Tool | What it does
app.py | The main file that starts the Gradio app
requirements.txt | Lists the Python packages the app needs
training_data.jsonl | A data file in the repository, its use is not explained

Example: You run the six setup commands on a machine with Python 3.12. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.

For newcomers and experts: If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.

If you know the field, the app uses Gradio 6.22.0 on Python 3.12, with app.py as the entry point and zero-a10g hardware listed at Hugging Face. Read both named model cards for size and limits, and check app.py for how training_data.jsonl is used.

Install packages from requirements.txt
Start app.py with Python 3.12
The app loads the models it names
Gradio serves the app as a web page

Good to know:

  • Documentation: the README gives no description, so every claim here comes from the model names, file names and Hugging Face's own record
  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the source names a training data file and does not say what else it reads, so check app.py
  • Not for: the source names nothing it forbids or does not do

On Hugging Face, 13 November 2026

  • Likes: 2
  • Built with: gradio
  • 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
E MiYu This page2gradioapache-2.0
FLUX.1 [dev]Shares gradio9,583gradiomit
InstantIDShares gradio3,659gradioapache-2.0
Chat With Janus-Pro-7BShares gradio2,036gradiomit
PhotoMakerShares gradio1,960gradioapache-2.0
Z Image TurboShares gradio1,940gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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