--- title: "Try GPT-1 and GPT-2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/c1f1317c-aab1-473f-b367-e36bea8940cb" updated: "2026-11-12" --- # Try GPT-1 and GPT-2 > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app whose name says you can try GPT-1 and GPT-2, running on basic CPU hardware. The README gives no description, so the page itself shows how it works. Try GPT-1 and GPT-2 is a kit in the Developer 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 mkmenta ## About ### What it is This Space is a Gradio app named Try GPT-1 and GPT-2, so by its name it lets you try those two GPT models. Its README is only Hugging Face's default template and gives no description. The record shows a Gradio 4.44.1 app with app.py as its main file, on cpu-basic hardware. ### Who it suits It suits people who are curious about the early GPT models, and developers who want to read how a small Gradio app is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students | Try the two named models to see how they behave | A student opens the page and tries a short input | | Research | Language model researchers | Look at early GPT models through a simple page | A researcher compares the two models on one input | | Software | Developers | Read app.py to see how the app is built | A developer reads the code before running a copy | | Hobbyists | Tinkerers | Play with the two models in a browser | A tinkerer tries a few inputs and reads the results | You can skip it if you need documented features, since the README has none. ### Where to use it You use it in these places. - A web browser, on the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, which needs Python | Use case | Who | What they get back | | --- | --- | --- | | Try the models online | Anyone | Whatever the page's controls produce | | Study the code | Developers | The app.py file and the package list to read | ### How to set it up Online use needs only a browser. A local copy needs Python and the packages the repository lists. - A web browser, for the online page - Python with pip, for a local copy - Python packages from requirements.txt 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Install Gradio 4.44.1 and the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download mkmenta/try-gpt-1-and-gpt-2 --repo-type space --local-dir try-gpt-1-and-gpt-2 cd try-gpt-1-and-gpt-2 pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page and use the controls it shows. For a local copy, start the app with the command below and open the page it serves in your browser. ```sh python app.py ``` ### Example You open the Space's page and try an input through the controls it shows. The page returns a result on screen, and what that result looks like depends on the app, which the source does not describe. ### For newcomers and experts Gradio is a way to put a model behind a simple web page. Start by opening the Space's page and trying one short input. Under the hood, the app is built with Gradio 4.44.1 and runs on cpu-basic hardware at Hugging Face. The repository holds only app.py, requirements.txt and the README, and the record names no models or datasets. The source does not say where the two models come from. You open the Space in a browser → You use the page's controls → The app runs on basic CPU hardware → The result shows on the page ### Good to know The source is thin, so check the Space itself for what it does and where it stops. - License: mit. - Cost to run: none named. The Space uses cpu-basic hardware at Hugging Face. - Data it reaches: whatever you give the page. The record names no models or datasets. ## README ````markdown # Try GPT-1 and GPT-2 A Gradio app whose name says you can try GPT-1 and GPT-2, running on basic CPU hardware. The README gives no description, so the page itself shows how it works. Made by mkmenta 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: This Space is a Gradio app named Try GPT-1 and GPT-2, so by its name it lets you try those two GPT models. Its README is only Hugging Face's default template and gives no description. The record shows a Gradio 4.44.1 app with app.py as its main file, on cpu-basic hardware. Who it suits: It suits people who are curious about the early GPT models, and developers who want to read how a small Gradio app is built. ```table Industry | Who uses it | How they use it | Example Education | Students | Try the two named models to see how they behave | A student opens the page and tries a short input Research | Language model researchers | Look at early GPT models through a simple page | A researcher compares the two models on one input Software | Developers | Read app.py to see how the app is built | A developer reads the code before running a copy Hobbyists | Tinkerers | Play with the two models in a browser | A tinkerer tries a few inputs and reads the results ``` You can skip it if you need documented features, since the README has none. Where to use it: You use it in these places. - A web browser, on the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, which needs Python ```table Use case | Who | What they get back Try the models online | Anyone | Whatever the page's controls produce Study the code | Developers | The app.py file and the package list to read ``` How to set it up: Online use needs only a browser. A local copy needs Python and the packages the repository lists. - A web browser, for the online page - Python with pip, for a local copy - Python packages from requirements.txt 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Install Gradio 4.44.1 and the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download mkmenta/try-gpt-1-and-gpt-2 --repo-type space --local-dir try-gpt-1-and-gpt-2 cd try-gpt-1-and-gpt-2 pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page and use the controls it shows. For a local copy, start the app with the command below and open the page it serves in your browser. ```sh python app.py ``` Example: You open the Space's page and try an input through the controls it shows. The page returns a result on screen, and what that result looks like depends on the app, which the source does not describe. For newcomers and experts: Gradio is a way to put a model behind a simple web page. Start by opening the Space's page and trying one short input. Under the hood, the app is built with Gradio 4.44.1 and runs on cpu-basic hardware at Hugging Face. The repository holds only app.py, requirements.txt and the README, and the record names no models or datasets. The source does not say where the two models come from. ```flow You open the Space in a browser You use the page's controls The app runs on basic CPU hardware The result shows on the page ``` Good to know: The source is thin, so check the Space itself for what it does and where it stops. - License: mit. - Cost to run: none named. The Space uses cpu-basic hardware at Hugging Face. - Data it reaches: whatever you give the page. The record names no models or datasets. ## On Hugging Face, 13 November 2026 - Likes: 58 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2 - Files: https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2/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 [mkmenta/try-gpt-1-and-gpt-2 on Hugging Face](https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2) ## 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 | | --- | --- | --- | --- | --- | | Try GPT-1 and GPT-2 (this page) | 58 | gradio | mit | 2024-11-05 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · VerTiGo\_Etrex · 2026-04-23](https://news.ycombinator.com/item?id=47882868): Website streamed live directly from a model: ITT: same mistakes as when GPT-1 and the first GANs for images were released. Remember when video generation looked like this 3 years ago? https://xcancel.com/minchoi/status/1911275924458270906 Maybe try prompting GPT-2 or 1 again? https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2 The… ## 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: 2024-11-05 - First published: 2023-07-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mkmenta/try-gpt-1-and-gpt-2 on Hugging Face](https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/c1f1317c-aab1-473f-b367-e36bea8940cb) - [Its page on Mindket](https://mindket.com/p/c1f1317c-aab1-473f-b367-e36bea8940cb)