LMWatermark | Large Language Models ' paper by Kirchenbauer & Geiping et
kandi X-RAY | LMWatermark Summary
kandi X-RAY | LMWatermark Summary
LMWatermark is a Python library. LMWatermark has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Implementation of 'A Watermark for Large Language Models' paper by Kirchenbauer & Geiping et. al.
Implementation of 'A Watermark for Large Language Models' paper by Kirchenbauer & Geiping et. al.
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LMWatermark has a low active ecosystem.
It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
LMWatermark has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of LMWatermark is v1.0
Quality
LMWatermark has no bugs reported.
Security
LMWatermark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
LMWatermark is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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LMWatermark releases are available to install and integrate.
Build file is available. You can build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of LMWatermark
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of LMWatermark
LMWatermark Key Features
No Key Features are available at this moment for LMWatermark.
LMWatermark Examples and Code Snippets
No Code Snippets are available at this moment for LMWatermark.
Community Discussions
No Community Discussions are available at this moment for LMWatermark.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install LMWatermark
You can download it from GitHub.
You can use LMWatermark like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use LMWatermark like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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