transformers-js Skill
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and br Published by openai in plugins.
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Is this a fit?
Browser automation, Data analysis, Design and media, Includes SKILL.md
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Copy skill directory
19 days ago
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What is transformers-js Skill?
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and br Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Browser automation
- Data analysis
- Design and media
- Browser automation use cases
- Data analysis use cases
Declared skill metadata
- Declared author: huggingface
- Source file: plugins/hugging-face/skills/transformers.js/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use transformers-js Skill
- Use it for browser automation.
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/hugging-face/skills/transformers.js/SKILL.md
What it does
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and br
Skill instructions
Transformers.js - Machine Learning for JavaScript Transformers.js enables running state-of-the-art machine learning models directly in JavaScript, both in browsers and Node.js environments, with no 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 bash npm install @huggingface/transformers Browser Usage (CDN) javascript <script type="module" import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers'; </script Core Concepts 1. Pipeline API The pipeline API is the easiest way to use models. It groups together preprocessing, model inference, and postprocessing: javascript import { pipeline } from
Verified compatibility and discovery
Frequently asked questions
What is transformers-js?
transformers-js is a open-source AI agent skill with Copy skill directory. Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
Who is transformers-js best for?
transformers-js is best for reusing agent instructions, scripts, and references, browser automation workflows, data analysis workflows, design and media workflows.
How do I install transformers-js?
Install or run transformers-js using Copy skill directory. Check transformers-js for the latest setup command.
Is transformers-js actively maintained?
transformers-js may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.