transformers-js
Runs machine learning models in JavaScript and TypeScript with Transformers.js, in browsers, Node.js, Bun and Deno.
- Kind
- Skill
- Works with
- Claude Code
- Languages
- TypeScript / JavaScript
- Source
- Hugging Face Skills @ 25910b3d0ba3
- Path
- skills/transformers-js/SKILL.md
- Jobs
- Implementation
- Topics
- Machine learning
Credit
- Made by
- huggingface
- Original
- github.com/huggingface/skills/blob/25910b3d0ba31a2ba102f901cd…
- License
- Apache-2.0
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
hf skills add transformers-js
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/transformers-js/ (the skill folder)
- 7 file(s) the skill refers to
- Runs scripts
- Yes
- shell block in the text
- Uses the network
- Yes
- downloads npm packages
- HTTP client calls
- Needs secrets
- Yes
- HF_TOKEN
- Reads environment variables
- HF_TOKEN
- Source revision
- 25910b3d0ba3
- Licence
- Apache-2.0
- Last activity
- 30 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# 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
```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 '@huggingface/transformers';
// Create a pipeline for a specific task
…