jimothyjohn / whataburger-detector

Simple model to tell you whether or not a Whataburger is present in your picture.

Cold

Public
22 runs
CPU
GitHub

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=jimothyjohn/whataburger-detector

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 jimothyjohn/whataburger-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jimothyjohn/whataburger-detector:794610814a9fb3556bc5f0fab069bca1e459c8f21a912a284dc448b98d68c7f8",
  {
    input: {
      format: "json"
    }
  }
);

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 jimothyjohn/whataburger-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jimothyjohn/whataburger-detector:794610814a9fb3556bc5f0fab069bca1e459c8f21a912a284dc448b98d68c7f8",
    input={
        "format": "json"
    }
)
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 jimothyjohn/whataburger-detector 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": "794610814a9fb3556bc5f0fab069bca1e459c8f21a912a284dc448b98d68c7f8",
    "input": {
      "format": "json"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Whataburger Detector

This Whataburger detector acts as the screening agent for public data before sending along to the larger WhataGAN dataset .