nateraw/codellama-34b – Run with an API on Replicate

nateraw / codellama-34b

Cold

Public
17 runs
L40S

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=nateraw/codellama-34b

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 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

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 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "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

Tweak it Report

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.