Technical & DevelopmentIntermediate
transformers.js
Run ML models in the browser with Transformers.js
Developer Setup
Setup & Installation
bash
npx skills add https://github.com/huggingface/skills --skill transformers.jsnpx skills add https://github.com/huggingface/skills --skill transformers.jsOr paste this URL into your assistant to install:
Overview
What This Skill Does
Transformers.js runs Hugging Face machine learning models directly in JavaScript, in both Node.js and browsers. It supports text, image, audio, and multimodal tasks using ONNX-converted models, with no backend or Python runtime needed.
Application
When to use this Skill
- Configuring integration settings for custom agent workflows.
- Optimizing query execution and response latency in production.
- Developing clean, standard-compliant implementations for enterprise services.
- Troubleshooting connection timeouts and authentication handshakes.
- Monitoring API rate limits and execution pipelines programmatically.
Documentation
Show Skills.md file
Transformers.js - Machine Learning for JavaScript
Transformers.js enables running state-of-the-art machine learning models directly in JavaScript across browsers and server-side runtimes (Node.js, Bun, Deno), with no Python server required.
When to Use This Skill
Use this skill when you need to:
- Run ML models for text analysis, generation, or translation in JavaScript
- Perform image classification, object detection, or segmentation
- Implement speech recognition or audio processing
- Build multimodal AI applications (text-to-image, image-to-text, etc.)
- Run models client-side in the browser without a backend
Installation
NPM Installation
npm install @huggingface/transformers
Browser Usage (CDN)
<script type="module">
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers';
</script>
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