Kautsar Muntazar

🐳 docker-model-runner - Run AI Models with Ease

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πŸš€ Getting Started

The docker-model-runner allows you to run AI models simply and efficiently. It comes equipped with support for the Anthropic API and Claude Code. You can also deploy models to HuggingFace Spaces. This guide will help you download and run the application with ease.

πŸ“‹ Features

πŸ”§ System Requirements

Before you begin, ensure your system meets the following requirements:

πŸ“₯ Download & Install

To get started, visit the GitHub Releases page to download the application. Click the button below:

Download from Releases

πŸ—οΈ Installation Steps

  1. Download the Latest Release
    • Go to the Releases page.
    • Look for the latest version and download the appropriate file for your operating system.
  2. Install Docker
    • If you don’t have Docker installed, download it from Docker’s official website.
    • Follow the installation instructions for your operating system.
  3. Run the Application
    • Open your terminal or command prompt.
    • Navigate to the directory where you downloaded the docker-model-runner.
    • Execute the following command:

      docker run -p 80:80 yourdockerimage
      

    Replace yourdockerimage with the actual image name from the downloaded files.

  4. Access the Server
    • Open a web browser and go to http://localhost. You should see the inference server interface.

πŸ” How to Use the Application

Once the application is running, you can interact with it through its simple web interface. Here’s how to get started:

  1. Select Your Model: Choose the model you want to use. The options will be listed on the homepage.
  2. Input Your Data: Enter the input data you want to process through the selected AI model.
  3. Run the Model: Click the β€œRun” button to get the results.
  4. View Results: The application will display the output right on the screen.

❓ Troubleshooting

If you encounter issues while installing or running the application, try the following:

🌐 Community Support

Join our community for support and updates:

πŸ› οΈ Contributing

Contributions are welcome! If you’d like to contribute to the project, please read the contributing guidelines. We appreciate your help in improving the application.

πŸ“œ License

This project is licensed under the MIT License. See the LICENSE file for details.

Download from Releases