aodianyun / qwen2-vl-2b

{
  "video": "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
  "width": 128,
  "height": 128,
  "prompt": "Describe the video.",
  "max_tokens": 128,
  "temperature": 0.7,
  "max_duration": 60,
  "repetition_penalty": 1.1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run aodianyun/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(
  "aodianyun/qwen2-vl-2b:6cc44731e30e71024f61dca89f33f95b0ef81854051eb85fd340c26b0871d086",
  {
    input: {
      video: "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
      width: 128,
      height: 128,
      prompt: "Describe the video.",
      max_tokens: 128,
      temperature: 0.7,
      max_duration: 60,
      repetition_penalty: 1.1
    }
  }
);

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

Import the client:

import replicate

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

output = replicate.run(
    "aodianyun/qwen2-vl-2b:6cc44731e30e71024f61dca89f33f95b0ef81854051eb85fd340c26b0871d086",
    input={
        "video": "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
        "width": 128,
        "height": 128,
        "prompt": "Describe the video.",
        "max_tokens": 128,
        "temperature": 0.7,
        "max_duration": 60,
        "repetition_penalty": 1.1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run aodianyun/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": "aodianyun/qwen2-vl-2b:6cc44731e30e71024f61dca89f33f95b0ef81854051eb85fd340c26b0871d086",
    "input": {
      "video": "https://replicate.delivery/pbxt/LXVISWYD8Od0I7w6EW5VIO3sycOIcukn6H26wrkaOX95RK7E/dod_classification_training.mp4",
      "width": 128,
      "height": 128,
      "prompt": "Describe the video.",
      "max_tokens": 128,
      "temperature": 0.7,
      "max_duration": 60,
      "repetition_penalty": 1.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "The video is about a training session on derivative classification, which seems to be an event or seminar related to financial markets and derivatives trading. The woman in the video appears to be giving a presentation or lecture, possibly explaining the concepts of derivative classification in a structured manner. The setting suggests that this might be part of a larger conference or workshop focused on finance and investment strategies." ]

Generated in

5.5 seconds

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