Cavalry 1 is a hello world model.
Whome to 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 meltred/cavalry-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "meltred/cavalry-1:fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e", { input: { text: "World" } } ); 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( "meltred/cavalry-1:fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e", input={ "text": "World" } ) 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": "fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e", "input": { "text": "World" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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/meltred/cavalry-1@sha256:fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e \ -i 'text="World"'
To learn more, take a look at the Cog documentation.
docker run -d -p 5000:5000 r8.im/meltred/cavalry-1@sha256:fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "text": "World" } }' \ http://localhost:5000/predictions
docker run -d -p 5000:5000 r8.im/meltred/cavalry-1@sha256:fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "text": "World" } }' \ http://localhost:5000/predictions
{ "completed_at": "2025-01-28T16:02:11.989278Z", "created_at": "2025-01-28T16:02:11.981000Z", "data_removed": false, "error": null, "id": "fcxy9drvhnrme0cmnpk889xfs8", "input": { "text": "World" }, "logs": null, "metrics": { "predict_time": 0.001184675, "total_time": 0.008278 }, "output": "Hello World!", "started_at": "2025-01-28T16:02:11.988093Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fcxy9drvhnrme0cmnpk889xfs8", "cancel": "https://api.replicate.com/v1/predictions/fcxy9drvhnrme0cmnpk889xfs8/cancel" }, "version": "fd1ca1dd118ad5d243a24cbb2ca9ff2bf87111f490ef33eb27a3d45ec92de97e" }
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.