Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add FrancoStino/opencode-skills-collection --skill transformers-js --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: transformers-js
description: "Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript."
risk: critical
source: https://github.com/huggingface/skills/tree/main/skills/transformers-js
source_repo: huggingface/skills
source_type: official
date_added: 2026-07-01
license: Apache-2.0
license_source: https://github.com/huggingface/skills/blob/main/LICENSE
---
# 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.
## Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
## 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
## Limitations
- Use this skill only when the task clearly matches its upstream product or API scope.
- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
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