# W Okada Kaggle

Last update: Feb 19, 2025


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# Introduction ‎

  • Kaggle is a cloud platform for using AI apps, powered by virtual machines with powerful GPU's.

  • It's a good cloud alternative for W-Okada for those who don't have good enough GPUs.


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# Create an Account

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# 1. Set up account.

  1. Start by making an account here. ‎

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  1. Verify your acount with a phone number so you can turn on the "internet" option.
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# Clone and Notebook Setup

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# 2. Clone Notebook

  1. Go to the voice changer notebook and click "Copy and Edit"

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  2. Under session settings in the sidebar turn on "internet". Make sure persistance is on for both files and varibles.

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  3. Turn on T4 X2 GPUs in accelerator.

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d: (Optional) Turn on headless mode so you can run so you can run the GPU on all sessions and save your progress. Go to the top right and click "Save version" then open the advanced dropdown.

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# Installation

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# 3. Installation Cells

  1. Starting from the top run the first cells, with the first being:

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a2. When it's done, which may take a couple of minutes, it will output Done! Proceed with the next steps.

  1. Run the third cell which is:

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# Ngrok & Sever Setup

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# 4. Ngrok Setup

  1. Scroll down to the last cell and you should see a section where you put your ngrok token. If you dont have a ngrok acount sign up here.
    a2. Once you have an acount you can authenticate your ngrok tunnel agent here: https://dashboard.ngrok.com/get-started/your-authtoken

  2. put the Ngrok token in the last cell like so:

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  3. Once the Ngrok token is there run the cell and let it download what it needs then you can click on the ngork link and start using W-Okada.

  1. (Optional) Directly under where you put your ngrok token there is region selection. You can change it to any of these servers to get less latency:
  • us -> United States (Ohio)
  • ap -> Asia/Pacific (Singapore)
  • au -> Australia (Sydney)
  • eu -> Europe (Frankfurt)
  • in -> India (Mumbai)
  • jp -> Japan (Tokyo)
  • sa -> South America (Sao Paulo)
  1. From here it's pretty much the same as using local W-Okada.

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# You have reached the end.

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