Deploying the Nexa AI SDK involves several standard steps:
- Getting the installation package: First of all, you need to visit the official Nexa AI website and download the corresponding version of the SDK installation package according to your operating system (Windows/macOS/Linux).
- Execute the installation program: Run the downloaded installation package, which usually contains a GUI wizard or command line installation option. Note that the installation process may require administrator privileges.
- Environment Configuration: You need to set the system environment variables after the installation is complete:
- For Windows systems, you need to add the installation path of Nexa SDK to the PATH variable in "System Properties".
- For macOS/Linux systems, add the export PATH statement to the .bashrc or .zshrc configuration file.
- Verify Installation: Open a terminal and type
nexa --versioncommand, the successful display of the version number means that the installation is correct.
It should be noted that some functional modules may require additional dependencies, it is recommended to refer to the official documentation to install the corresponding version of CUDA/cuDNN (if GPU acceleration is required) or Python runtime environment. After the installation is complete, developers can start to reference the SDK in the project for development.
This answer comes from the articleNexa: a small multimodal AI solution for local operationThe
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