replicate/flan-t5-xl:1457f256 – Run with an API on Replicate

Version

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replicate /flan-t5-xl:1457f256

Input

prompt

*string

Shift + Return to add a new line

Answer the following yes/no question by reasoning step by step. Can a dog drive a car?Answer the following yes/no question by reasoning step by step. Can a dog drive a car?

Prompt to send to FLAN-T5. Multiple prompts supported, split with '<sep>'

max_length

integer

(minimum: 1)

Maximum number of tokens to generate; a word is generally 2-3 tokens

Default: 50

temperature

number

(minimum: 0.01, maximum: 1)

Adjusts randomness of outputs, 1 is random and 0 is deterministic

Default: 0.8

top_p

number

(minimum: 0.01, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 1

repetition_penalty

number

(minimum: 1, maximum: 10)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition

Default: 1

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

npx create-replicate --model=replicate/flan-t5-xl

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 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": "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
    }
  }' \
  https://api.replicate.com/v1/predictions

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

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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