anotherjesse/fastai-bird – Run with an API on Replicate

anotherjesse / fastai-bird

fastai lesson 1 - bird or forest

Cold

Public
229 runs
CPU

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=anotherjesse/fastai-bird

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 anotherjesse/fastai-bird using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "anotherjesse/fastai-bird:00573cf6b4d02511b82cdd6fff6bbba2513b001cc1b3d3d56ba0a02cbe80a90f",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JozWvEjU8HJMutd7vXzvdCfhMV9G9mrzNKEyF5bawHYiUld4/bird.jpeg"
    }
  }
);

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 anotherjesse/fastai-bird using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "anotherjesse/fastai-bird:00573cf6b4d02511b82cdd6fff6bbba2513b001cc1b3d3d56ba0a02cbe80a90f",
    input={
        "image": "https://replicate.delivery/pbxt/JozWvEjU8HJMutd7vXzvdCfhMV9G9mrzNKEyF5bawHYiUld4/bird.jpeg"
    }
)
print(output)

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 anotherjesse/fastai-bird 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": "00573cf6b4d02511b82cdd6fff6bbba2513b001cc1b3d3d56ba0a02cbe80a90f",
    "input": {
      "image": "https://replicate.delivery/pbxt/JozWvEjU8HJMutd7vXzvdCfhMV9G9mrzNKEyF5bawHYiUld4/bird.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

you sent a bird with prob of 0.9999674558639526

Generated in

0.2 seconds

Tweak it Report

This output was created using a different version of the model, anotherjesse/fastai-bird:c0126c0f.

Run time and cost

This model costs approximately $0.0090 to run on Replicate, or 111 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on CPU hardware. Predictions typically complete within 90 seconds. The predict time for this model varies significantly based on the inputs.

Readme

As I’m working through the fastai course, I want to deploy things to replicate to test out.

I trained this resnet18 version of “bird or forest” using google colab based on this kaggle notebook and watching youtube fastai lesson 1.