vaibhavs10/incredibly-fast-whisper:3ab86df6 – Run with an API on Replicate

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vaibhavs10 /incredibly-fast-whisper:3ab86df6

Playground API

Input

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audio

*file

Audio file

task

string

Task to perform: transcribe or translate to another language.

Default: "transcribe"

language

string

Language spoken in the audio, specify 'None' to perform language detection.

Default: "None"

batch_size

integer

Number of parallel batches you want to compute. Reduce if you face OOMs.

Default: 24

timestamp

string

Whisper supports both chunked as well as word level timestamps.

Default: "chunk"

diarise_audio

boolean

Use Pyannote.audio to diarise the audio clips. You will need to provide hf_token below too.

Default: false

hf_token

string

Shift + Return to add a new line

Provide a hf.co/settings/token for Pyannote.audio to diarise the audio clips. You need to agree to the terms in 'https://huggingface.co/pyannote/speaker-diarization-3.1' and 'https://huggingface.co/pyannote/segmentation-3.0' first.

Run this model in Node.js with one line of code:

npx create-replicate --model=vaibhavs10/incredibly-fast-whisper

or set up a project from scratch

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run vaibhavs10/incredibly-fast-whisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "vaibhavs10/incredibly-fast-whisper:3ab86df6c8f54c11309d4d1f930ac292bad43ace52d10c80d87eb258b3c9f79c",
  {
    input: {
      task: "transcribe",
      audio: "https://replicate.delivery/pbxt/Js2Fgx9MSOCzdTnzHQLJXj7abLp3JLIG3iqdsYXV24tHIdk8/OSR_uk_000_0050_8k.wav",
      language: "None",
      timestamp: "chunk",
      batch_size: 64,
      diarise_audio: false
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run vaibhavs10/incredibly-fast-whisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "vaibhavs10/incredibly-fast-whisper:3ab86df6c8f54c11309d4d1f930ac292bad43ace52d10c80d87eb258b3c9f79c",
    input={
        "task": "transcribe",
        "audio": "https://replicate.delivery/pbxt/Js2Fgx9MSOCzdTnzHQLJXj7abLp3JLIG3iqdsYXV24tHIdk8/OSR_uk_000_0050_8k.wav",
        "language": "None",
        "timestamp": "chunk",
        "batch_size": 64,
        "diarise_audio": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run vaibhavs10/incredibly-fast-whisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "3ab86df6c8f54c11309d4d1f930ac292bad43ace52d10c80d87eb258b3c9f79c",
    "input": {
      "task": "transcribe",
      "audio": "https://replicate.delivery/pbxt/Js2Fgx9MSOCzdTnzHQLJXj7abLp3JLIG3iqdsYXV24tHIdk8/OSR_uk_000_0050_8k.wav",
      "language": "None",
      "timestamp": "chunk",
      "batch_size": 64,
      "diarise_audio": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "text": " the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit hours fly by much too soon. The room was crowded with a mild wab. The room was crowded with a wild mob. This strong arm shall shield your honour. She blushed when he gave her a white orchid The beetle droned in the hot June sun", "chunks": [ { "text": " the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit hours fly by much too soon. The room was crowded", "timestamp": [ 0, 29.72 ] }, { "text": " with a mild wab. The room was crowded with a wild mob. This strong arm shall shield your", "timestamp": [ 29.72, 38.98 ] }, { "text": " honour. She blushed when he gave her a white orchid The beetle droned in the hot June sun", "timestamp": [ 38.98, 48.52 ] } ] }

Generated in

2.8 seconds

Tweak it Report

This example was created by a different version, vaibhavs10/incredibly-fast-whisper:37dfc0d6.