KoGPT2 Korean Finetuning

KoGPT2 Korean Finetuning

A Gradio app around the skt/kogpt2-base-v2 Korean language model, with its weights held in the Space. For people who want to try a small Korean text model or see how it is packaged.

Made by AD-Styles 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: KoGPT2 Korean Finetuning is a Gradio app around a Korean GPT-2 language model, skt/kogpt2-base-v2. The model files sit in the repository itself, with config files, a tokenizer and a model.safetensors weights file. The README's only line is the name kogpt2-korean-movie-review, which points to Korean movie-review text.

Who it suits: People who want to try a small Korean text model in a browser, and developers who want to see how a fine-tuned model is packaged in a Space.

Industry | Who uses it | How they use it | Example
Language technology | Korean NLP developers | Try a small Korean language model | Opening the page and entering a Korean prompt
Education | Students | Study how a fine-tuned model is packaged | Reading app.py beside the weights and tokenizer files
Media | Hobbyists | See what a movie-review model writes | Trying the page with a short opening line

You can skip it if you need a model for other languages, since this one is Korean.

Where to use it:

• A web browser, on the Space's own page at Hugging Face
• A copy on your own computer, using Python on Windows, macOS or Linux

Use case | Who | What they get back
Try the model online | Hobbyists | Korean text from the model, as the page shows it
Study the packaging | Developers | A repository with weights, config and tokenizer files beside the app

How to set it up:

• A browser, if you only use the Space online
• Python and pip, if you run a copy yourself

1. Open the Space's page on Hugging Face to use it online. Nothing needs installing.
2. For a local copy, install the huggingface_hub package and download the Space's files.
3. Move into the new folder, then install Gradio and the packages in requirements.txt.
4. Start the app with python.

pip install -U huggingface_hub
hf download AD-Styles/kogpt2-korean-finetuning --repo-type space --local-dir kogpt2-korean-finetuning
cd kogpt2-korean-finetuning
pip install gradio==6.12.0
pip install -r requirements.txt

How to use it: Open the Space's page and use the controls it shows. The source lists no further steps. On your own computer, start the app first and open the page it serves.

python app.py

Tool | What it does
python app.py | Starts the app on your own computer

Example: You open the page and enter a short Korean phrase. The model continues it, and the page shows the text it wrote. The source does not show a real run, so what you get may vary.

For newcomers and experts: If you are new to this, open the Space and try a short Korean sentence. Small models like this one can wander off topic, so keep your prompt short.

For experts, the weights ship inside the Space, so a local download includes them. The base model is skt/kogpt2-base-v2, and the repository holds generation_config.json for the sampling settings. The Space runs on Hugging Face's basic CPU hardware, so replies are slow.

Open the Space or run app.py
Enter a Korean prompt
The model generates text
The text shows on the page

Good to know:

• Built with Gradio 6.12.0, and the main file is app.py
• License: mit
• Cost to run: none named
• Data it reaches: none named
• The source gives only a name as its description, so check the page for what it does

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/AD-Styles/kogpt2-korean-finetuning
• Files: https://huggingface.co/spaces/AD-Styles/kogpt2-korean-finetuning/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.