prithivMLmods

prithivMLmods

A small web page titled My HF telemetry, packaged as a Docker Space with Vite and TypeScript project files. Runs in your browser or in a local Docker container on port 7860.

Made by prithivMLmods 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 is a Docker Space that serves a small web page. Its only description is the title My HF telemetry, and the source does not say what the page shows.

The repository has 7 files: a Dockerfile, an index.html, package.json, tsconfig.json and vite.config.ts, plus its README. The file names point to a Vite and TypeScript project.

Who it suits: It suits developers who want to see how a front-end project is packaged as a Docker Space on Hugging Face. It also suits people who follow the author's work.

Industry | Who uses it | How they use it | Example
Web development | Front-end developers | Read the Dockerfile and vite.config.ts | Seeing how a Vite project is built inside a container
AI development | Hugging Face users | Open the Space page in a browser | Looking at the author's telemetry page
Education | Learners | Build the container locally | Practising docker build and docker run on a small project

Skip it if you want a documented tool, since the source gives no feature list.

Where to use it: The page runs in these places.

• A web browser, on the Space's page at Hugging Face
• A local Docker container on Windows, macOS or Linux
• Hugging Face's cpu-basic hardware, where the online Space runs

Use case | Who | What they get back
Open the page online | Anyone | The web page served by the Space
Run it in Docker | Developers | The same page on port 7860 of their machine
Study the packaging | Learners | A short Dockerfile and Vite setup to read

How to set it up: Online you only need a browser. A local copy needs these.

• Python and pip, for the hf download command
• Docker on Windows, macOS or Linux

1. Install the huggingface_hub package.
2. Download the Space's files into a folder with the hf command.
3. Move into that folder.
4. Build the Docker image from the Dockerfile.
5. Run the image and map port 7860.

pip install -U huggingface_hub
hf download prithivMLmods/prithivMLmods --repo-type space --local-dir prithivMLmods
cd prithivMLmods
docker build -t prithivmlmods .
docker run -it -p 7860:7860 prithivmlmods

How to use it: Open the Space's page, or start the container with the run command above and point your browser at port 7860 on your own machine.

docker run -it -p 7860:7860 prithivmlmods

The page then loads in the browser.

Example: You build the image with docker build, start it with docker run and open port 7860 in a browser. The page titled My HF telemetry loads from your own machine.

For newcomers and experts: If you are new, start with the Space's page on Hugging Face, which needs nothing installed. Docker is only needed when you want your own copy running.

If you know the field, this is a Docker Space on port 7860 with a Vite and TypeScript setup, hosted on cpu-basic hardware at Hugging Face. There is no Python app and no model, so it is a front-end build rather than an AI demo.

Hugging Face builds the Dockerfile
The container serves the page on port 7860
You open the Space page in a browser

Good to know: The source gives only a title, so what the page measures or shows is not stated.

• License: apache-2
• Cost to run: none named
• Data it reaches: not stated in the source

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: docker
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/prithivMLmods/prithivMLmods
• Files: https://huggingface.co/spaces/prithivMLmods/prithivMLmods/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.