viktorfa/hello-torch | Run with an API on Replicate

viktorfa / hello-torch

Only for testing cold start

Cold

Public
866 runs
T4

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=viktorfa/hello-torch

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 viktorfa/hello-torch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "viktorfa/hello-torch:3b297a2624682c11dfcbfd0aaecf9eebf14f2e8164069722cc733291ad5f22a0",
  {
    input: {
      number: 5
    }
  }
);

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 viktorfa/hello-torch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "viktorfa/hello-torch:3b297a2624682c11dfcbfd0aaecf9eebf14f2e8164069722cc733291ad5f22a0",
    input={
        "number": 5
    }
)

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 viktorfa/hello-torch 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": "viktorfa/hello-torch:3b297a2624682c11dfcbfd0aaecf9eebf14f2e8164069722cc733291ad5f22a0",
    "input": {
      "number": 5
    }
  }' \
  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/viktorfa/hello-torch@sha256:3b297a2624682c11dfcbfd0aaecf9eebf14f2e8164069722cc733291ad5f22a0 \
  -i 'number=5'

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 --gpus=all r8.im/viktorfa/hello-torch@sha256:3b297a2624682c11dfcbfd0aaecf9eebf14f2e8164069722cc733291ad5f22a0
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "number": 5
    }
  }' \
  http://localhost:5000/predictions

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

Output

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

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.