Prediction

nateraw/codellama-34b:868672ce4d78e0a74c15e678a9ace4cda3a36da20725f83a3b44aaa24076f80b

Model

nateraw/codellama-34b:868672ce

ouigwjlb2e3ttxhyakwverwxea

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5m 43s

Created

almost 2 years ago by @nateraw

Input

top_k: 50
top_p: 0.95
message: def fibonacci(n):
temperature: 0.8
max_new_tokens: 200

{
  "top_k": 50,
  "top_p": 0.95,
  "message": "def fibonacci(n):\n",
  "temperature": 0.8,
  "max_new_tokens": 200
}

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 nateraw/codellama-34b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nateraw/codellama-34b:868672ce4d78e0a74c15e678a9ace4cda3a36da20725f83a3b44aaa24076f80b",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      message: "def fibonacci(n):\n",
      temperature: 0.8,
      max_new_tokens: 200
    }
  }
);

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 nateraw/codellama-34b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/codellama-34b:868672ce4d78e0a74c15e678a9ace4cda3a36da20725f83a3b44aaa24076f80b",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "message": "def fibonacci(n):\n",
        "temperature": 0.8,
        "max_new_tokens": 200
    }
)

# The nateraw/codellama-34b 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/nateraw/codellama-34b/api#output-schema
    print(item, end="")

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

Run nateraw/codellama-34b 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": "nateraw/codellama-34b:868672ce4d78e0a74c15e678a9ace4cda3a36da20725f83a3b44aaa24076f80b",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "message": "def fibonacci(n):\\n",
      "temperature": 0.8,
      "max_new_tokens": 200
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

if n == 0: return 0 elif n == 1: return 1 else: return fibonacci(n - 1) + fibonacci(n - 2) def main(): num = int(input('Digite a quantidade de termos que deseja: ')) print(fibonacci(num)) main()

Generated in

14.2 seconds

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