vaibhavs10/incredibly-fast-whisper:c6433aab – Run with an API on Replicate

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vaibhavs10 /incredibly-fast-whisper:c6433aab

Playground API

Input

audio

*file

Audio file

task

string

Task to perform: transcribe or translate to another language. (default: transcribe).

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).

Default: 24

timestamp

string

Whisper supports both chunked as well as word level timestamps. (default: chunk).

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:c6433aab18b7318bbae316495f1a097fc067deef7d59dc2f33e45077ae5956c7",
  {
    input: {
      task: "transcribe",
      language: "None",
      timestamp: "chunk",
      batch_size: 24,
      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:c6433aab18b7318bbae316495f1a097fc067deef7d59dc2f33e45077ae5956c7",
    input={
        "task": "transcribe",
        "language": "None",
        "timestamp": "chunk",
        "batch_size": 24,
        "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": "vaibhavs10/incredibly-fast-whisper:c6433aab18b7318bbae316495f1a097fc067deef7d59dc2f33e45077ae5956c7",
    "input": {
      "task": "transcribe",
      "language": "None",
      "timestamp": "chunk",
      "batch_size": 24,
      "diarise_audio": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.