Prediction

replicate/flan-t5-xl:1457f256

Model

replicate/flan-t5-xl:1457f256

dviccvpuavfl3iuu3guhfpe2ju

Status

Succeeded

Source

Web

Hardware

–

Total duration

4m 32s

Created

about 2 years ago by @daanelson

Input

top_p: "0.95"
prompt: Answer the following yes/no question by reasoning step by step. Can a dog drive a car?
max_length: 50
temperature: "0.7"
repetition_penalty: 1

{
  "top_p": "0.95",
  "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
  "max_length": 50,
  "temperature": "0.7",
  "repetition_penalty": 1
}

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 replicate/flan-t5-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicate/flan-t5-xl:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7",
  {
    input: {
      top_p: "0.95",
      prompt: "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
      max_length: 50,
      temperature: "0.7",
      repetition_penalty: 1
    }
  }
);
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 replicate/flan-t5-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "replicate/flan-t5-xl:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7",
    input={
        "top_p": "0.95",
        "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
        "max_length": 50,
        "temperature": "0.7",
        "repetition_penalty": 1
    }
)
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 replicate/flan-t5-xl 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": "1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7",
    "input": {
      "top_p": "0.95",
      "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
      "max_length": 50,
      "temperature": "0.7",
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run replicate/flan-t5-xl using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/replicate/flan-t5-xl@sha256:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7 \
  -i 'top_p="0.95"' \
  -i 'prompt="Answer the following yes/no question by reasoning step by step. Can a dog drive a car?"' \
  -i 'max_length=50' \
  -i 'temperature="0.7"' \
  -i 'repetition_penalty=1'

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

Pull and run replicate/flan-t5-xl using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/replicate/flan-t5-xl@sha256:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_p": "0.95",
      "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
      "max_length": 50,
      "temperature": "0.7",
      "repetition_penalty": 1
    }
  }' \
  http://localhost:5000/predictions

Output

[ "Dogs do not have a drivers license nor can they operate a car. Therefore, the final answer is no." ]

Generated in

2.9 seconds

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