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Xenova/
ast-finetuned-audioset-16-16-0.442

Name: ast-finetuned-audioset-16-16-0.442
Availability: InStock

transformers.js

onnx

audio-spectrogram-transformer

audio-classification

MIT/ast-finetuned-audioset-16-16-0.442

quantized

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https://huggingface.co/MIT/ast-finetuned-audioset-16-16-0.442 with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

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

npm i @huggingface/transformers

Example: Perform audio classification.

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

const classifier = await pipeline('audio-classification', 'Xenova/ast-finetuned-audioset-16-16-0.442');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
const output = await classifier(url);

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).