jyoung105/qwen-vl-7b | Run with an API on Replicate

Input

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

npx create-replicate --model=jyoung105/qwen-vl-7b

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 jyoung105/qwen-vl-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/qwen-vl-7b:611b528d0c87a2d2116a321f20f4abb7c24c8ef3d9205e909efb2427173f7059",
  {
    input: {
      prompt: "Describe this image.",
      max_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 jyoung105/qwen-vl-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/qwen-vl-7b:611b528d0c87a2d2116a321f20f4abb7c24c8ef3d9205e909efb2427173f7059",
    input={
        "prompt": "Describe this image.",
        "max_tokens": 200
    }
)
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 jyoung105/qwen-vl-7b 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": "jyoung105/qwen-vl-7b:611b528d0c87a2d2116a321f20f4abb7c24c8ef3d9205e909efb2427173f7059",
    "input": {
      "prompt": "Describe this image.",
      "max_tokens": 200
    }
  }' \
  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/jyoung105/qwen-vl-7b@sha256:611b528d0c87a2d2116a321f20f4abb7c24c8ef3d9205e909efb2427173f7059 \
  -i 'prompt="Describe this image."' \
  -i 'max_tokens=200'

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/jyoung105/qwen-vl-7b@sha256:611b528d0c87a2d2116a321f20f4abb7c24c8ef3d9205e909efb2427173f7059
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "Describe this image.",
      "max_tokens": 200
    }
  }' \
  http://localhost:5000/predictions

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