uncensored-com/video-llava-7b-hf – Run with an API on Replicate

uncensored-com / video-llava-7b-hf

Input a video, ask anything about it. Deployed by uncensored.com

Cold

Public
25 runs
A100 (80GB)
Weights

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=uncensored-com/video-llava-7b-hf

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 uncensored-com/video-llava-7b-hf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "uncensored-com/video-llava-7b-hf:a837a57f057ca84b171d3c10ed4f13dd351770cfb86a503eac164a96b4a5667a",
  {
    input: {
      top_p: 0.9,
      prompt: "What is happening in this video?",
      num_frames: 10,
      temperature: 0.1,
      max_new_tokens: 500
    }
  }
);
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 uncensored-com/video-llava-7b-hf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "uncensored-com/video-llava-7b-hf:a837a57f057ca84b171d3c10ed4f13dd351770cfb86a503eac164a96b4a5667a",
    input={
        "top_p": 0.9,
        "prompt": "What is happening in this video?",
        "num_frames": 10,
        "temperature": 0.1,
        "max_new_tokens": 500
    }
)
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 uncensored-com/video-llava-7b-hf 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": "a837a57f057ca84b171d3c10ed4f13dd351770cfb86a503eac164a96b4a5667a",
    "input": {
      "top_p": 0.9,
      "prompt": "What is happening in this video?",
      "num_frames": 10,
      "temperature": 0.1,
      "max_new_tokens": 500
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

https://github.com/PKU-YuanGroup/Video-LLaVA

deployed by uncensored.com