Transformers JS

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

• The request matches the skill description: Run Hugging Face models in JavaScript or TypeScript with Transformers.js in Node.js or the browser.
• The task needs the implementation patterns, examples, validation checks, or edge cases listed in the topic map.
• The work would benefit from the complete guidance preserved in references/full-guidance.md.

Core Workflow

1. Confirm the request matches this skill's trigger, scope, and risk profile.
2. Use the topic map to identify the relevant pattern, checklist, or example before writing detailed guidance or code.
3. Load references/full-guidance.md when implementation details, examples, anti-patterns, validation checks, or edge cases are needed.
4. Apply only the relevant guidance instead of loading or repeating the entire reference by default.
5. Verify the result against any validation checks, limitations, security notes, or platform constraints in the reference.

Topic Map

• When to Use This Skill
• Installation
• NPM Installation
• Browser Usage (CDN)
• Core Concepts
• Pipeline API
• Model Selection
• Device Selection
• Quantization Options
• Supported Tasks
• Natural Language Processing
• Computer Vision
• Audio Processing
• Multimodal
• Feature Extraction (Embeddings)
• Finding and Choosing Models
• Browsing the Hugging Face Hub
• Choosing the Right Model

Reference Map

• references/full-guidance.md preserves the complete original guidance, including examples and detailed edge cases.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Progressive Loading

Keep this SKILL.md as the compact routing and workflow entrypoint. Load the reference file only when the user task requires the deeper implementation material.