What is Transformers.js?

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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: 🚀 Watch this video ad-free on Nebula 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: 🚂 🚂 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 🚂 Website: 👾 Share Your Creation! 🚩 Suggest Topics: 💡 GitHub: 💬 Discord: 💖 Membership: 🛒 Store: 🖋️ Twitter: 📸 Instagram: 🎥 🎥 🔗 p5.js: 🔗 p5.js Web Editor: 🔗 Processing: 📄 Code of Conduct: This description was auto-generated. If you see a problem, please open an issue: #machinelearning #transformersjs #huggingface #sen