anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
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.
pip install -U huggingface_hub hf download yukimama/E_MiYu --repo-type space --local-dir E_MiYu cd E_MiYu
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.
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.
| 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 |
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
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 |
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.
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.
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.
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:
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:
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:
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| E MiYu This page | 2 | gradio | apache-2.0 | |
| FLUX.1 [dev]Shares gradio | 9,583 | gradio | mit | |
| InstantIDShares gradio | 3,659 | gradio | apache-2.0 | |
| Chat With Janus-Pro-7BShares gradio | 2,036 | gradio | mit | |
| PhotoMakerShares gradio | 1,960 | gradio | apache-2.0 | |
| Z Image TurboShares gradio | 1,940 | gradio | apache-2.0 |
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