Prediction

fofr/star-trek-gpt-j-6b:af6aeca9

Model

fofr/star-trek-gpt-j-6b:af6aeca9

pbpv2kk3ingifllfoy7v52vwey

Status

Succeeded

Source

Web

Hardware

–

Total duration

5.5s

Created

about 2 years ago

Input

top_k: 50
top_p: 1
prompt: What was the most popular holodeck program?
decoding: top_p
max_length: 500
temperature: 0.75
repetition_penalty: 1.2

{
  "top_k": 50,
  "top_p": 1,
  "prompt": "What was the most popular holodeck program?",
  "decoding": "top_p",
  "max_length": 500,
  "temperature": 0.75,
  "repetition_penalty": 1.2
}

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 fofr/star-trek-gpt-j-6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/star-trek-gpt-j-6b:af6aeca95b3448bdd320fef895082fb310979b2d605c7db8160d7ca9760822d9",
  {
    input: {
      top_k: 50,
      top_p: 1,
      prompt: "What was the most popular holodeck program?",
      decoding: "top_p",
      max_length: 500,
      temperature: 0.75,
      repetition_penalty: 1.2
    }
  }
);
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 fofr/star-trek-gpt-j-6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/star-trek-gpt-j-6b:af6aeca95b3448bdd320fef895082fb310979b2d605c7db8160d7ca9760822d9",
    input={
        "top_k": 50,
        "top_p": 1,
        "prompt": "What was the most popular holodeck program?",
        "decoding": "top_p",
        "max_length": 500,
        "temperature": 0.75,
        "repetition_penalty": 1.2
    }
)

# The fofr/star-trek-gpt-j-6b 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/fofr/star-trek-gpt-j-6b/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 fofr/star-trek-gpt-j-6b 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": "af6aeca95b3448bdd320fef895082fb310979b2d605c7db8160d7ca9760822d9",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "prompt": "What was the most popular holodeck program?",
      "decoding": "top_p",
      "max_length": 500,
      "temperature": 0.75,
      "repetition_penalty": 1.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The most popular holodecks were those at Starfleet Academy, and holographic programs created by Starfleet Command. The Academy featured a 'Star Trek'-themed program in its gymnasium, while other holosuites included a small zoo with various animals including Klingons, Cardassians, Ferengis, Bajorans, Yridians, Tellarites, Xindi-Reptilians, Vulcans, Romulans, Federation members, and several others from different Star Fleet organizations.

Generated in

5.3 seconds

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