collectiveai-team/crisperwhisper:dd1b6513 – Run with an API on Replicate

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collectiveai-team /crisperwhisper:dd1b6513

Playground API

Input

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hf_token

*string

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HuggingFace token to access CrispWhisper models.

audio

file

Audio file

Default: "https://replicate.delivery/pbxt/IZjTvet2ZGiyiYaMEEPrzn0xY1UDNsh0NfcO9qeTlpwCo7ig/lex-levin-4min.mp3"

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: 8

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

npx create-replicate --model=collectiveai-team/crisperwhisper

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 collectiveai-team/crisperwhisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "collectiveai-team/crisperwhisper:dd1b6513f008a4fd5596041785acfba9367ff192398926b4b1efc0e1474dec5c",
  {
    input: {
      audio: "https://replicate.delivery/pbxt/IZjTvet2ZGiyiYaMEEPrzn0xY1UDNsh0NfcO9qeTlpwCo7ig/lex-levin-4min.mp3",
      language: "None",
      batch_size: 8
    }
  }
);

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 collectiveai-team/crisperwhisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "collectiveai-team/crisperwhisper:dd1b6513f008a4fd5596041785acfba9367ff192398926b4b1efc0e1474dec5c",
    input={
        "audio": "https://replicate.delivery/pbxt/IZjTvet2ZGiyiYaMEEPrzn0xY1UDNsh0NfcO9qeTlpwCo7ig/lex-levin-4min.mp3",
        "language": "None",
        "batch_size": 8
    }
)
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 collectiveai-team/crisperwhisper 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": "collectiveai-team/crisperwhisper:dd1b6513f008a4fd5596041785acfba9367ff192398926b4b1efc0e1474dec5c",
    "input": {
      "audio": "https://replicate.delivery/pbxt/IZjTvet2ZGiyiYaMEEPrzn0xY1UDNsh0NfcO9qeTlpwCo7ig/lex-levin-4min.mp3",
      "language": "None",
      "batch_size": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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