a test run for hello world
Your name
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 wei903979/hello-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "wei903979/hello-world:0d1cf6cfb407526bc6ac40d7390848cda00ffe309342d852f542f49e66d35ce6", { input: { name: "Wei" } } ); 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( "wei903979/hello-world:0d1cf6cfb407526bc6ac40d7390848cda00ffe309342d852f542f49e66d35ce6", input={ "name": "Wei" } ) 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": "wei903979/hello-world:0d1cf6cfb407526bc6ac40d7390848cda00ffe309342d852f542f49e66d35ce6", "input": { "name": "Wei" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2025-03-14T17:15:34.889756Z", "created_at": "2025-03-14T17:15:27.981000Z", "data_removed": false, "error": null, "id": "gyt55javdnrme0cnjpkr889dhc", "input": { "name": "Wei" }, "logs": null, "metrics": { "predict_time": 0.000244707, "total_time": 6.908756 }, "output": "Hello, Wei!", "started_at": "2025-03-14T17:15:34.889511Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gyt55javdnrme0cnjpkr889dhc", "cancel": "https://api.replicate.com/v1/predictions/gyt55javdnrme0cnjpkr889dhc/cancel" }, "version": "0d1cf6cfb407526bc6ac40d7390848cda00ffe309342d852f542f49e66d35ce6" }
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.
This model runs on CPU hardware which costs $0.0001 per second. View more.