daanelson

flan-t5-large

Cold

A language model for tasks like classification, summarization, and more.

Public

1.4K runs

Run with an API

Playground API Examples Train README Versions

Prediction

daanelson/flan-t5-large:ce962b3f6792a57074a601d3979db5839697add2e4e02696b3ced4c022d4767f

Model

daanelson/flan-t5-large:ce962b3f

vsfhybcture6jjsymy4q5awdqy

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 45s

Created

over 2 years ago

Input

top_p: 1
prompt: Answer the following yes/no question by reasoning step by step. Can a dog drive a car?
max_length: 50
temperature: 0.75
repetition_penalty: 1

{
  "top_p": 1,
  "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
  "max_length": 50,
  "temperature": 0.75,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "daanelson/flan-t5-large:ce962b3f6792a57074a601d3979db5839697add2e4e02696b3ced4c022d4767f",
  {
    input: {
      top_p: 1,
      prompt: "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
      max_length: 50,
      temperature: 0.75,
      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

Import the client:

import replicate

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

output = replicate.run(
    "daanelson/flan-t5-large:ce962b3f6792a57074a601d3979db5839697add2e4e02696b3ced4c022d4767f",
    input={
        "top_p": 1,
        "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
        "max_length": 50,
        "temperature": 0.75,
        "repetition_penalty": 1
    }
)

# The daanelson/flan-t5-large 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/daanelson/flan-t5-large/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Run daanelson/flan-t5-large 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": "daanelson/flan-t5-large:ce962b3f6792a57074a601d3979db5839697add2e4e02696b3ced4c022d4767f",
    "input": {
      "top_p": 1,
      "prompt": "Answer the following yes/no question by reasoning step by step. Can a dog drive a car?",
      "max_length": 50,
      "temperature": 0.75,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Dogs are not motorized vehicles nor can they drive a car. Therefore, the final answer is yes.

Generated in

3.4 seconds

Tweak it Iterate in playground Share Report

Want to make some of these yourself?

Run this model