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Welcome to a new series all about working with machine learning models in JavaScript in the browser using the Transformers.js library! In this introduction, I cover what Transformers.js is, how to load it into a p5.js sketch, explain the pipeline API, and demonstrate sentiment analysis and language detection examples. Code:
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p5.js Web Editor Sketches:
🕹️ Sentiment Analysis:
🕹️ Language Detection:
References:
💻 Transformers.js Documentation:
🤗 Hugging Face:
🤗 Hugging Face Models:
🤗 Xenova on Hugging Face:
🤗 Whisper Web:
💻 p5.js 2.0 reference:
📓 ES6 Modules:
📓 Quantization:
Videos:
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Timestamps:
0:00 Welcome!
1:53 Why JavaScript and not Python?
3:01 What is Hugging Face?
4:03 Transformers.js Documentation
4:18 Pipeline API
5:41 import syntax and ES6 modules
8:34 Object Destructuring
11:33 Creating a Pipeline
13:18 Sentiment Analysis Example
19:04 Tasks and Models on Hugging Face
20:20 Language Detection Example
22:27 Device: WebGPU, CPU and more
24:25 Data Types and Quantization
27:54 See you next time!
Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound
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#machinelearning #transformersjs #huggingface #sen
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2025/10/25
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