titocosta/starling:7c6d75f4 | Run with an API on Replicate

Version

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

titocosta /starling:7c6d75f4

Playground API

Input

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

npx create-replicate --model=titocosta/starling

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

const output = await replicate.run(
  "titocosta/starling:7c6d75f4bbf9605ecd5a6ee17fff9926c21c62a00729ab7a8d4c328a9e76493a",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      temperature: 0.2,
      max_new_tokens: 512,
      prompt_template: "GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:"
    }
  }
);

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

output = replicate.run(
    "titocosta/starling:7c6d75f4bbf9605ecd5a6ee17fff9926c21c62a00729ab7a8d4c328a9e76493a",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "temperature": 0.2,
        "max_new_tokens": 512,
        "prompt_template": "GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:"
    }
)

# The titocosta/starling model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/titocosta/starling/api#output-schema
    print(item, end="")

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 titocosta/starling 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": "titocosta/starling:7c6d75f4bbf9605ecd5a6ee17fff9926c21c62a00729ab7a8d4c328a9e76493a",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "temperature": 0.2,
      "max_new_tokens": 512,
      "prompt_template": "GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:"
    }
  }' \
  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.