replicate/resnet:dd782a3d – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

replicate /resnet:dd782a3d

Playground API

Input

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

npx create-replicate --model=replicate/resnet

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 replicate/resnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/resnet:dd782a3d531b61af491d1026434392e8afb40bfb53b8af35f727e80661489767",
  {
    input: {
      image: "https://replicate.delivery/mgxm/64ae6640-b109-4484-9c45-2e6bae918f56/cat.jpg"
    }
  }
);
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 replicate/resnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/resnet:dd782a3d531b61af491d1026434392e8afb40bfb53b8af35f727e80661489767",
    input={
        "image": "https://replicate.delivery/mgxm/64ae6640-b109-4484-9c45-2e6bae918f56/cat.jpg"
    }
)
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 replicate/resnet 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": "dd782a3d531b61af491d1026434392e8afb40bfb53b8af35f727e80661489767",
    "input": {
      "image": "https://replicate.delivery/mgxm/64ae6640-b109-4484-9c45-2e6bae918f56/cat.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

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/replicate/resnet@sha256:dd782a3d531b61af491d1026434392e8afb40bfb53b8af35f727e80661489767 \
  -i 'image="https://replicate.delivery/mgxm/64ae6640-b109-4484-9c45-2e6bae918f56/cat.jpg"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/replicate/resnet@sha256:dd782a3d531b61af491d1026434392e8afb40bfb53b8af35f727e80661489767
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/64ae6640-b109-4484-9c45-2e6bae918f56/cat.jpg"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

[ [ "n02123597", "Siamese_cat", 0.8829364776611328 ], [ "n02123394", "Persian_cat", 0.09810526669025421 ], [ "n02123045", "tabby", 0.005758069921284914 ] ]

Generated in

4.7 seconds

Tweak it Report