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

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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: {
      video: "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
      width: 128,
      height: 128,
      prompt: "Describe the video in great detail.",
      max_tokens: 512,
      temperature: 0.7,
      max_duration: 180
    }
  }
);

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={
        "video": "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
        "width": 128,
        "height": 128,
        "prompt": "Describe the video in great detail.",
        "max_tokens": 512,
        "temperature": 0.7,
        "max_duration": 180
    }
)
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": "cuuupid/qwen2-vl-2b:d312c2be33a5ec3ab4787973aae74a485e194f4fccf106086b637afd6dd694b4",
    "input": {
      "video": "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
      "width": 128,
      "height": 128,
      "prompt": "Describe the video in great detail.",
      "max_tokens": 512,
      "temperature": 0.7,
      "max_duration": 180
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "The video features a woman standing behind a podium, speaking to the camera. She is wearing a blue shirt and appears to be giving a presentation or lecture. The woman's facial expression suggests that she is engaged and passionate about the topic she is discussing. The background of the video is not visible, but it can be assumed that it is an indoor setting, possibly a conference room or lecture hall. The woman's speech is not audible, but her body language and gestures suggest that she is using hand movements to emphasize certain points. Overall, the video seems to be a formal presentation or lecture, with the woman as the main speaker." ]

Generated in

16.4 seconds

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