google-ai-edge/models-samples
Sample code for turning PyTorch AI models into a mobile-ready format
This repository, published under Google's AI Edge organization, holds example code for converting AI models. Its convert_pytorch folder contains Colab notebooks that walk through downloading a PyTorch model and converting it into the TensorFlow Lite format used to run AI on phones and small devices. Anyone with a Google account can run these notebooks in the cloud without installing anything locally. It has 25 stars and is written mostly in Jupyter Notebook.
What it does
- Hosted under google-ai-edge, this repo collects samples for creating and converting AI models.
- The convert_pytorch directory provides Colab notebooks that convert PyTorch models into TensorFlow Lite.
- Notebooks run in Google's cloud, so a personal Google account is enough to try them without local setup.
- It's aimed at developers who want to deploy AI models onto phones or embedded, on-device environments.
Why it matters
Running AI models directly on phones or small devices requires converting them into a lightweight format first, and this repo gives working code to practice that exact step. It's a practical starting point for developers who learn better by running real examples than reading theory.
Terms in this repo
- PyTorch · A popular programming framework, from Meta, for building AI models
- TensorFlow Lite · Google's format for running AI models efficiently on resource-limited devices like phones
- Colab · Google's free cloud notebook service that runs code in a browser
- AI Edge · Google's area of work on running AI directly on devices near the user rather than on servers
Repository description (English)
google-ai-edge/models-samples
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