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 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 const pipe = await pipeline('sentiment-analysis'); // Use the pipeline const result = await pipe('I love transformers!'); // Output: [{ label: 'POSITIVE', score: 0.999817686 }] // IMPORTANT: Always dispose when done to free memory await classifier.dispose(); ``` **⚠️ Memory Management:** All pipelines must be disposed with `pipe.dispose()` when finished to prevent memory...