How to Install and Uninstall python312-azure-ai-translation-document Package on openSuSE Tumbleweed

Last updated: September 28,2024

1. Install "python312-azure-ai-translation-document" package

Please follow the guidance below to install python312-azure-ai-translation-document on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-azure-ai-translation-document
            
                    
    
    Copied

2. Uninstall "python312-azure-ai-translation-document" package

This is a short guide on how to uninstall python312-azure-ai-translation-document on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-azure-ai-translation-document
            
                    
    
    Copied

3. Information about the python312-azure-ai-translation-document package on openSuSE Tumbleweed

Information for package python312-azure-ai-translation-document:
----------------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-ai-translation-document
Version : 1.0.0.0-1.10
Arch : noarch
Vendor : openSUSE
Installed Size : 629.8 KiB
Installed : No
Status : not installed
Source package : python-azure-ai-translation-document-1.0.0.0-1.10.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Document Translation Client Library for Python
Description :
Azure Cognitive Services Document Translation is a cloud service that translates documents
to and from 90 languages and dialects while preserving document structure and data format.
Use the client library for Document Translation to:
* Translate numerous, large files from an Azure Blob Storage container to a target container
in your language of choice.
* Check the translation status and progress of each document in the translation operation.
* Apply a custom translation model or glossaries to tailor translation to your specific case.