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whisper-models

v1.0.22

Published

Simple package to download and/or use whisper models in your project, wether for transcription, translation, or any other purpose.

Downloads

32

Readme

Whisper Models

Simple package to download and/or use whisper models in your project, wether for transcription, translation, or any other purpose.

| Model | Disk | RAM | |-----------|--------|---------| | tiny | 75 MB | ~390 MB | | tiny.en | 75 MB | ~390 MB | | base | 142 MB | ~500 MB | | base.en | 142 MB | ~500 MB | | small | 466 MB | ~1.0 GB | | small.en | 466 MB | ~1.0 GB | | medium | 1.5 GB | ~2.6 GB | | medium.en | 1.5 GB | ~2.6 GB | | large-v1 | 2.9 GB | ~4.7 GB | | large-v2 | 2.9 GB | ~4.7 GB | | large-v3 | 2.9 GB | ~4.7 GB |

Usage

Install the package using your package manager of choice:

npm install whisper-models
yarn add whisper-models
pnpm add whisper-models

and also add the following line to the scripts object of the package.json depending on the package manager you are using and the model you want to download:

{
  "scripts": {
    "postinstall": "pnpm whisper-models -m small"
  }
}

Transcription

// import whisper from 'whisper-models';
const Whisper = require('whisper-models');

(async () => {
  const whisper = new Whisper('tiny');
	await whisper.run();

  const transcription = await whisper.sendData('path/to/audio/file.wav');
  console.log(transcription);

  // or if you already know the spoken language

  const transcription = await whisper.sendData('path/to/audio/file.wav', { spokenLanguage: 'en' });
  console.log(transcription);
})();

Translation

// import whisper from 'whisper-models';
const Whisper = require('whisper-models');

(async () => {
  const whisper = new Whisper('tiny');
  await whisper.run();

  const translation = await whisper.sendData('path/to/audio/file.wav', { task: 'translate' });
  console.log(translation);
})();

Options

  • task: The task to perform. Default is transcribe.
  • spokenLanguage: The language spoken in the audio file. Default is en.
  • beamSize: The beam size. Default is 5.
  • temperature: The sampling temperature (between 0 and 1). Default is 0.
  • patience: The patience for early stopping.
  • maxSegmentLength: The maximum segment length. Default is 0.
  • compressionRatioThreshold: The compression ratio threshold.
  • cuda: The Nvidia CUDA device to use. Default is false.