cuuupid/qwen2-vl-2b:d312c2be – Run with an API on Replicate

Version

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cuuupid /qwen2-vl-2b:d312c2be

Playground API Setup logs

Input

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

npx create-replicate --model=cuuupid/qwen2-vl-2b

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 cuuupid/qwen2-vl-2b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cuuupid/qwen2-vl-2b:d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4",
  {
    input: {
      width: 360,
      height: 360,
      prompt: "Describe the video.",
      max_tokens: 128,
      temperature: 0.7,
      max_duration: 60
    }
  }
);

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 cuuupid/qwen2-vl-2b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cuuupid/qwen2-vl-2b:d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4",
    input={
        "width": 360,
        "height": 360,
        "prompt": "Describe the video.",
        "max_tokens": 128,
        "temperature": 0.7,
        "max_duration": 60
    }
)
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 cuuupid/qwen2-vl-2b 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": "d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4",
    "input": {
      "width": 360,
      "height": 360,
      "prompt": "Describe the video.",
      "max_tokens": 128,
      "temperature": 0.7,
      "max_duration": 60
    }
  }' \
  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/cuuupid/qwen2-vl-2b@sha256:d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4 \
  -i 'width=360' \
  -i 'height=360' \
  -i 'prompt="Describe the video."' \
  -i 'max_tokens=128' \
  -i 'temperature=0.7' \
  -i 'max_duration=60'

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/cuuupid/qwen2-vl-2b@sha256:d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 360,
      "height": 360,
      "prompt": "Describe the video.",
      "max_tokens": 128,
      "temperature": 0.7,
      "max_duration": 60
    }
  }' \
  http://localhost:5000/predictions

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

Output

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