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Xenova/whisper-small
whisper-small is a automatic speech recognition model from Xenova. Use it when you need speech turned into text. It is set up for transformers.js. The card lists the license as apache-2.0.
https://huggingface.co/openai/whisper-small with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
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.onnx7.4 GB · 100%
From the Hugging Face model README
https://huggingface.co/openai/whisper-small with ONNX weights to be compatible with 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-small');
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).