Xenova/whisper-medium

automatic speech recognitiontransformers.jstransformers.jsonnxwhisperautomatic-speech-recognitionbase_model:openai/whisper-mediumbase_model:quantized:openai/whisper-mediumapache-2.0
182.4K

https://huggingface.co/openai/whisper-medium 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: Transcribe audio from a URL.

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

const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-medium');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
const output = await transcriber(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).

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