How to Install and Uninstall libsentencepiece-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: October 04,2024

1. Install "libsentencepiece-dev" package

Please follow the instructions below to install libsentencepiece-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libsentencepiece-dev
            
                    
    
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2. Uninstall "libsentencepiece-dev" package

Please follow the guidance below to uninstall libsentencepiece-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libsentencepiece-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libsentencepiece-dev package on Ubuntu 21.10 (Impish Indri)

Package: libsentencepiece-dev
Architecture: amd64
Version: 0.1.95-1
Priority: optional
Section: universe/libdevel
Source: sentencepiece
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 48
Depends: libsentencepiece0 (= 0.1.95-1)
Filename: pool/universe/s/sentencepiece/libsentencepiece-dev_0.1.95-1_amd64.deb
Size: 9800
MD5sum: 0bef522f5801724ede87fc99ee700560
SHA1: fa4bae6a3ec884f53441ce28d1df544fc7f709cd
SHA256: f79e0ea28fbe05b26cd06b616238b0c00018de183efd993a0f5ec49edaa691ec
SHA512: f70a18b6522b19fe0ca632b09db622fe503a7de47213d2a7ddabec8e36460338e7ff4bf7d03f45207e9744c3032a16220f2c9b65f565d734d44e15512447609f
Homepage: https://github.com/google/sentencepiece
Description-en: Header files of SentencePiece
SentencePiece is an unsupervised text tokenizer/detokenizer mainly
designed for Neural Network-based text generation systems where the
vocabulary size is predetermined prior to the neural model training.
Description-md5: 1c968e7ac65dd102ee35d7420ba46536