j-min/vl-t5:560b0f84 – Run with an API on Replicate

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j-min /vl-t5:560b0f84

Playground API

Input

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

npx create-replicate --model=j-min/vl-t5

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 j-min/vl-t5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "j-min/vl-t5:560b0f8439191dddf5babf188e34b63fb4e4d679fdb2c10d82988d25df798b7c",
  {
    input: {
      image: "https://replicate.delivery/mgxm/d80b0dac-f162-4c23-ae6c-9f5a72725900/demo.jpg",
      question: "what is in the picture?"
    }
  }
);
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 j-min/vl-t5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "j-min/vl-t5:560b0f8439191dddf5babf188e34b63fb4e4d679fdb2c10d82988d25df798b7c",
    input={
        "image": "https://replicate.delivery/mgxm/d80b0dac-f162-4c23-ae6c-9f5a72725900/demo.jpg",
        "question": "what is in the picture?"
    }
)
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 j-min/vl-t5 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": "560b0f8439191dddf5babf188e34b63fb4e4d679fdb2c10d82988d25df798b7c",
    "input": {
      "image": "https://replicate.delivery/mgxm/d80b0dac-f162-4c23-ae6c-9f5a72725900/demo.jpg",
      "question": "what is in the picture?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/j-min/vl-t5@sha256:560b0f8439191dddf5babf188e34b63fb4e4d679fdb2c10d82988d25df798b7c \
  -i 'image="https://replicate.delivery/mgxm/d80b0dac-f162-4c23-ae6c-9f5a72725900/demo.jpg"' \
  -i 'question="what is in the picture?"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/j-min/vl-t5@sha256:560b0f8439191dddf5babf188e34b63fb4e4d679fdb2c10d82988d25df798b7c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/d80b0dac-f162-4c23-ae6c-9f5a72725900/demo.jpg",
      "question": "what is in the picture?"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

dog

Generated in

5.6 seconds

Tweak it Report