aexol-studio/recommendation_hybrid:edbfb4bb | Run with an API on Replicate

Version

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aexol-studio /recommendation_hybrid:edbfb4bb

Input

reviews

string

Shift + Return to add a new line

api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxesapi:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes

Reviews HuggingFace Datasets (api:McAuley-Lab/Amazon-Reviews-2023 raw_review Digital_Music) or path (path:data/reviews.csv)

Default: "api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes"

user_id

string

Shift + Return to add a new line

user id

Default: "AE224HI2GTJDDOBC3RN3O5SDBNOA"

user_column

string

Shift + Return to add a new line

user column

Default: "user_id"

title_column

string

Shift + Return to add a new line

title column

Default: "title"

review_column

string

Shift + Return to add a new line

review column

Default: "text"

product_column

string

Shift + Return to add a new line

product column

Default: "parent_asin"

integer

top n recommendation

Default: 10

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

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

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 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:edbfb4bb611c83a9c434c8d57767e189b61f37a8e1ecc83929efe56042f1ba5e",
  {
    input: {
      n: 10,
      reviews: "api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes",
      user_id: "AE224HI2GTJDDOBC3RN3O5SDBNOA",
      user_column: "user_id",
      title_column: "title",
      review_column: "text",
      product_column: "parent_asin"
    }
  }
);

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

output = replicate.run(
    "aexol-studio/recommendation_hybrid:edbfb4bb611c83a9c434c8d57767e189b61f37a8e1ecc83929efe56042f1ba5e",
    input={
        "n": 10,
        "reviews": "api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes",
        "user_id": "AE224HI2GTJDDOBC3RN3O5SDBNOA",
        "user_column": "user_id",
        "title_column": "title",
        "review_column": "text",
        "product_column": "parent_asin"
    }
)
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 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:edbfb4bb611c83a9c434c8d57767e189b61f37a8e1ecc83929efe56042f1ba5e",
    "input": {
      "n": 10,
      "reviews": "api:McAuley-Lab/Amazon-Reviews-2023 raw_review_Subscription_Boxes",
      "user_id": "AE224HI2GTJDDOBC3RN3O5SDBNOA",
      "user_column": "user_id",
      "title_column": "title",
      "review_column": "text",
      "product_column": "parent_asin"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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