Text to prefix with 'hello '
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run mattrothenberg/hello-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mattrothenberg/hello-world:adcd95ef40538bfcb461cfbcd0686915443f3b3585cbd5919ec3ecf42664076b", { input: { text: "a cat" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
import replicate
output = replicate.run( "mattrothenberg/hello-world:adcd95ef40538bfcb461cfbcd0686915443f3b3585cbd5919ec3ecf42664076b", input={ "text": "a cat" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "mattrothenberg/hello-world:adcd95ef40538bfcb461cfbcd0686915443f3b3585cbd5919ec3ecf42664076b", "input": { "text": "a cat" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2025-04-24T00:52:58.111793Z", "created_at": "2025-04-24T00:52:52.665000Z", "data_removed": false, "error": null, "id": "pk08zv4175rm80cpcn4afpjga0", "input": { "text": "a cat" }, "logs": null, "metrics": { "predict_time": 0.00001792, "total_time": 5.446793 }, "output": "hello a cat", "started_at": "2025-04-24T00:52:58.111775Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pk08zv4175rm80cpcn4afpjga0", "cancel": "https://api.replicate.com/v1/predictions/pk08zv4175rm80cpcn4afpjga0/cancel" }, "version": "adcd95ef40538bfcb461cfbcd0686915443f3b3585cbd5919ec3ecf42664076b" }
This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.