Prediction

replicate/flan-t5-xl:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7

Model

replicate/flan-t5-xl:1457f256

ID

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

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

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.

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

Tweak it Share Report

Prediction

replicate/flan-t5-xl:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7

Model

replicate/flan-t5-xl:1457f256

ID

qlx3vtbipvbrjchp6achucxxbq

Status

Succeeded

Source

Web

Hardware

–

Total duration

0.4s

Created

about 2 years ago

Input

top_p: "0.95"
prompt: What is the capital of Paraguay?
max_length: 50
temperature: "0.7"
repetition_penalty: 1

{
  "top_p": "0.95",
  "prompt": "What is the capital of Paraguay?",
  "max_length": 50,
  "temperature": "0.7",
  "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 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: "What is the capital of Paraguay?",
      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

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": "What is the capital of Paraguay?",
        "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.

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": "What is the capital of Paraguay?",
      "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

[ "asunción" ]

Generated in

0.3 seconds

Tweak it Share Report

Prediction

replicate/flan-t5-xl:1457f256622cd45415aa70c02105a917b39dc96e58601d7c2df5a30d2e3092e7

Model

replicate/flan-t5-xl:1457f256

ID

oi3gyjmgzbd37le4d3otrjdjyq

Status

Succeeded

Source

Web

Hardware

–

Total duration

0.3s

Created

about 2 years ago by @daanelson

Input

top_p: "0.95"
prompt: Here are some phrases and sentiments. \nI love this spaghetti: Positive \nThe air outside is great: Positive \nYou hated the cat in the hat: Negative \nHe is in a foul mood: Negative \nThe dinner was horrible:
max_length: 50
temperature: "0.7"
repetition_penalty: 1

{
  "top_p": "0.95",
  "prompt": "Here are some phrases and sentiments. \\nI love this spaghetti: Positive \\nThe air outside is great: Positive \\nYou hated the cat in the hat: Negative \\nHe is in a foul mood: Negative \\nThe dinner was horrible: ",
  "max_length": 50,
  "temperature": "0.7",
  "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 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: "Here are some phrases and sentiments. \\nI love this spaghetti: Positive \\nThe air outside is great: Positive \\nYou hated the cat in the hat: Negative \\nHe is in a foul mood: Negative \\nThe dinner was horrible: ",
      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

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": "Here are some phrases and sentiments. \\nI love this spaghetti: Positive \\nThe air outside is great: Positive \\nYou hated the cat in the hat: Negative \\nHe is in a foul mood: Negative \\nThe dinner was horrible: ",
        "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.

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": "Here are some phrases and sentiments. \\\\nI love this spaghetti: Positive \\\\nThe air outside is great: Positive \\\\nYou hated the cat in the hat: Negative \\\\nHe is in a foul mood: Negative \\\\nThe dinner was horrible: ",
      "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

[ "Negative" ]

Generated in

0.2 seconds

Tweak it Share Report

Prediction

replicate/flan-t5-xl:493acf2e5adef7a4819802f8b2728e4187554bf35c3445e86b7d95ecd8111736

Model

replicate/flan-t5-xl:493acf2e

ID

7edkwtrfmnd4bbacw3im7thr7e

Status

Succeeded

Source

Web

Hardware

–

Total duration

5m 10s

Created

about 2 years ago

Input

n: 1
top_p: "0.95"
prompt: Translate the following sentence to spanish: The cat is on the table.
max_length: 50
temperature: "0.7"
repetition_penalty: 1

{
  "n": 1,
  "top_p": "0.95",
  "prompt": "Translate the following sentence to spanish: The cat is on the table. ",
  "max_length": 50,
  "temperature": "0.7",
  "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 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:493acf2e5adef7a4819802f8b2728e4187554bf35c3445e86b7d95ecd8111736",
  {
    input: {
      n: 1,
      top_p: "0.95",
      prompt: "Translate the following sentence to spanish: The cat is on the table. ",
      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

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:493acf2e5adef7a4819802f8b2728e4187554bf35c3445e86b7d95ecd8111736",
    input={
        "n": 1,
        "top_p": "0.95",
        "prompt": "Translate the following sentence to spanish: The cat is on the table. ",
        "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.

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:493acf2e5adef7a4819802f8b2728e4187554bf35c3445e86b7d95ecd8111736",
    "input": {
      "n": 1,
      "top_p": "0.95",
      "prompt": "Translate the following sentence to spanish: The cat is on the table. ",
      "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.