pbarker/whisperx | Run with an API on Replicate

Input

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

npx create-replicate --model=pbarker/whisperx

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 pbarker/whisperx using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pbarker/whisperx:d8687841d63ba54ad46e2cad0a0e60fed6306bd35cacf4c00aaccddb59a7dbae",
  {
    input: {
      debug: false,
      only_text: false,
      batch_size: 32,
      align_output: 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 pbarker/whisperx using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pbarker/whisperx:d8687841d63ba54ad46e2cad0a0e60fed6306bd35cacf4c00aaccddb59a7dbae",
    input={
        "debug": False,
        "only_text": False,
        "batch_size": 32,
        "align_output": 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 pbarker/whisperx 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": "pbarker/whisperx:d8687841d63ba54ad46e2cad0a0e60fed6306bd35cacf4c00aaccddb59a7dbae",
    "input": {
      "debug": false,
      "only_text": false,
      "batch_size": 32,
      "align_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/pbarker/whisperx@sha256:d8687841d63ba54ad46e2cad0a0e60fed6306bd35cacf4c00aaccddb59a7dbae \
  -i 'debug=false' \
  -i 'only_text=false' \
  -i 'batch_size=32' \
  -i 'align_output=false'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/pbarker/whisperx@sha256:d8687841d63ba54ad46e2cad0a0e60fed6306bd35cacf4c00aaccddb59a7dbae
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "debug": false,
      "only_text": false,
      "batch_size": 32,
      "align_output": false
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.