aexol-studio/recommendation_hybrid_minko | Run with an API on Replicate

Input

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

npx create-replicate --model=aexol-studio/recommendation_hybrid_minko

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 aexol-studio/recommendation_hybrid_minko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "aexol-studio/recommendation_hybrid_minko:7dae1abdb3efdd38000ca09b554a91a0c9276d1b9ba700f31aea8dd2c1f5357f",
  {
    input: {
      top_n: 10,
      prediction: "items",
      pretrained: false,
      show_metrics: false
    }
  }
);

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 aexol-studio/recommendation_hybrid_minko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "aexol-studio/recommendation_hybrid_minko:7dae1abdb3efdd38000ca09b554a91a0c9276d1b9ba700f31aea8dd2c1f5357f",
    input={
        "top_n": 10,
        "prediction": "items",
        "pretrained": False,
        "show_metrics": False
    }
)
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 aexol-studio/recommendation_hybrid_minko 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": "aexol-studio/recommendation_hybrid_minko:7dae1abdb3efdd38000ca09b554a91a0c9276d1b9ba700f31aea8dd2c1f5357f",
    "input": {
      "top_n": 10,
      "prediction": "items",
      "pretrained": false,
      "show_metrics": false
    }
  }' \
  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

This model doesn't have a readme.