A secret has its value redacted after being sent to the model.
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 mattt/shh using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mattt/shh:37c29c427395aafd73864f2450701bfe15d66beb9521e718d2aedfa5e506bc5c", { input: { secret: "" } } ); 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( "mattt/shh:37c29c427395aafd73864f2450701bfe15d66beb9521e718d2aedfa5e506bc5c", input={ "secret": "" } ) 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": "mattt/shh:37c29c427395aafd73864f2450701bfe15d66beb9521e718d2aedfa5e506bc5c", "input": { "secret": "" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2024-05-20T20:14:18.185758Z", "created_at": "2024-05-20T20:13:06.429000Z", "data_removed": false, "error": null, "id": "c51ynxf5znrga0cfjyhawbs6a8", "input": { "secret": "[REDACTED]" }, "logs": null, "metrics": { "predict_time": 0.003459, "total_time": 71.756758 }, "output": "The secret value is 9 characters long", "started_at": "2024-05-20T20:14:18.182299Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/c51ynxf5znrga0cfjyhawbs6a8", "cancel": "https://api.replicate.com/v1/predictions/c51ynxf5znrga0cfjyhawbs6a8/cancel" }, "version": "37c29c427395aafd73864f2450701bfe15d66beb9521e718d2aedfa5e506bc5c" }
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.