Prediction

replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827

Model

replicate/gpt-j-6b:b3546aee

ID

32xzgz6tq5h7jelhlezpbyljkm

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.2s

Created

over 2 years ago by @daanelson

Input

top_k: 50
top_p: 1
prompt: Tell me about turtles.
decoding: top_p
max_length: 50
temperature: 0.75
repetition_penalty: 1.2

{
  "top_k": 50,
  "top_p": 1,
  "prompt": "Tell me about turtles.",
  "decoding": "top_p",
  "max_length": 50,
  "temperature": 0.75,
  "repetition_penalty": 1.2
}

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/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(
  "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
  {
    input: {
      top_k: 50,
      top_p: 1,
      prompt: "Tell me about turtles.",
      decoding: "top_p",
      max_length: 50,
      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

Import the client:

import replicate

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

output = replicate.run(
    "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    input={
        "top_k": 50,
        "top_p": 1,
        "prompt": "Tell me about turtles.",
        "decoding": "top_p",
        "max_length": 50,
        "temperature": 0.75,
        "repetition_penalty": 1.2
    }
)

# The replicate/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/replicate/gpt-j-6b/api#output-schema
    print(item, end="")

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

Run replicate/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": "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "prompt": "Tell me about turtles.",
      "decoding": "top_p",
      "max_length": 50,
      "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 turtle is a symbol of the constancy and endurance, as well as patience and perseverance. The turtle does not fear to go slowly forward on an even path because it knows that when its head

Generated in

2.0 seconds

Tweak it Iterate in playground Share Report

Prediction

replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827

Model

replicate/gpt-j-6b:b3546aee

ID

c2yxuzckofflxamu7ktln3lsgq

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.1s

Created

over 2 years ago by @daanelson

Input

top_k: 50
top_p: 1
prompt: Is a hot dog a sandwich?
decoding: top_p
max_length: 50
temperature: 0.75
repetition_penalty: 1.2

{
  "top_k": 50,
  "top_p": 1,
  "prompt": "Is a hot dog a sandwich?",
  "decoding": "top_p",
  "max_length": 50,
  "temperature": 0.75,
  "repetition_penalty": 1.2
}

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/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(
  "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
  {
    input: {
      top_k: 50,
      top_p: 1,
      prompt: "Is a hot dog a sandwich?",
      decoding: "top_p",
      max_length: 50,
      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

Import the client:

import replicate

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

output = replicate.run(
    "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    input={
        "top_k": 50,
        "top_p": 1,
        "prompt": "Is a hot dog a sandwich?",
        "decoding": "top_p",
        "max_length": 50,
        "temperature": 0.75,
        "repetition_penalty": 1.2
    }
)

# The replicate/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/replicate/gpt-j-6b/api#output-schema
    print(item, end="")

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

Run replicate/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": "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "prompt": "Is a hot dog a sandwich?",
      "decoding": "top_p",
      "max_length": 50,
      "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

A. Yes, it is a sandwich because it's eaten between two pieces of bread or other edible products and served in the same way as sandwiches. An open-faced sandwich would be an example

Generated in

1.9 seconds

Tweak it Iterate in playground Share Report

Prediction

replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827

Model

replicate/gpt-j-6b:b3546aee

ID

5ksqlkcva5blrlna4sjchhysdy

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.6s

Created

over 2 years ago

Input

top_k: 50
top_p: 1
prompt: Can you implement Dijkstra's Algorithm for me in Javascript?
decoding: top_p
max_length: 100
temperature: 0.75
repetition_penalty: 1.2

{
  "top_k": 50,
  "top_p": 1,
  "prompt": "Can you implement Dijkstra's Algorithm for me in Javascript?",
  "decoding": "top_p",
  "max_length": 100,
  "temperature": 0.75,
  "repetition_penalty": 1.2
}

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/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(
  "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
  {
    input: {
      top_k: 50,
      top_p: 1,
      prompt: "Can you implement Dijkstra's Algorithm for me in Javascript?",
      decoding: "top_p",
      max_length: 100,
      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

Import the client:

import replicate

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

output = replicate.run(
    "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    input={
        "top_k": 50,
        "top_p": 1,
        "prompt": "Can you implement Dijkstra's Algorithm for me in Javascript?",
        "decoding": "top_p",
        "max_length": 100,
        "temperature": 0.75,
        "repetition_penalty": 1.2
    }
)

# The replicate/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/replicate/gpt-j-6b/api#output-schema
    print(item, end="")

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

Run replicate/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": "replicate/gpt-j-6b:b3546aeec6c9891f0dd9929c2d3bedbf013c12e02e7dd0346af09c37e008c827",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "prompt": "Can you implement Dijkstra\'s Algorithm for me in Javascript?",
      "decoding": "top_p",
      "max_length": 100,
      "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 answer is yes. I have implemented the algorithm, and its working well. My Code was done using JavaScript. As soon as i get some time it will be posted on codeproject.com <|endoftext|>

Generated in

2.4 seconds

Tweak it Iterate in playground Share Report

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (32xzgz6tq5h7jelhlezpbyljkm)

Logs (c2yxuzckofflxamu7ktln3lsgq)

Logs (5ksqlkcva5blrlna4sjchhysdy)