In this video, Fahd Mirza provides a step-by-step tutorial on installing and running AI models in the browser using Transformers.js, a JavaScript library that allows for offline execution of state-of-the-art machine learning models. Transformers.js is functionally equivalent to the Hugging Face Transformers Python library and supports a wide range of models, including NLP, computer vision, audio, and multi-modal models. Fahd explains that Transformers.js uses ONNX runtime to run models in the browser and demonstrates how to convert pre-trained models to ONNX using Optimum. He walks through the installation process, including setting up Node.js and npm using NVM, and then shows how to install Transformers.js from the source. Fahd also demonstrates running a code completion example locally, highlighting the ease of use and configurability of the library. He mentions that Transformers.js supports various types of models, including text-to-speech and video models, and emphasizes the importance of having the latest versions of Node.js and npm for successful installation. The video concludes with Fahd encouraging viewers to experiment with different models and share their experiences.

Fahd Mirza
Not Applicable
July 7, 2024
Transformers.js Documentation
PT8M10S