Ast Finetuned Audioset 10 10 0.4593

🚀 Audio Classification Model with Transformers.js

This project provides an audio classification model based on the MIT/ast-finetuned-audioset-10-10-0.4593 base model, made compatible with the transformers.js library. It uses ONNX weights to ensure seamless integration with the JavaScript environment.

🚀 Quick Start

This model is based on the MIT/ast-finetuned-audioset-10-10-0.4593 and is made compatible with the transformers.js library. You can find the model on Hugging Face with ONNX weights.

📦 Installation

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @xenova/transformers

💻 Usage Examples

Basic Usage

Perform audio classification with Xenova/ast-finetuned-audioset-10-10-0.4593 and return top 4 results.

import { pipeline } from '@xenova/transformers';

// Create an audio classification pipeline
const classifier = await pipeline('audio-classification', 'Xenova/ast-finetuned-audioset-10-10-0.4593');

// Predict class
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cat_meow.wav';
const output = await classifier(url, { topk: 4 });
console.log(output);
// [
//   { label: 'Meow', score: 0.5617874264717102 },
//   { label: 'Cat', score: 0.22365376353263855 },
//   { label: 'Domestic animals, pets', score: 0.1141069084405899 },
//   { label: 'Animal', score: 0.08985692262649536 },
// ]

⚠️ Important Note

Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).