FastBPE | 效率优化的bpe算法 - bpe

by mijing Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | FastBPE Summary

FastBPE is a Python library. FastBPE has no bugs, it has no vulnerabilities and it has low support. However FastBPE build file is not available. You can download it from GitHub.

bpe.py 是原始算法执行可以直接: python bpe.py sample.txt. bpe_fast.py 是效率优化的算法, 提升1000x 执行可以直接: python bpe_fast.py sample.txt.

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Quality

Security

License

Reuse

Support

FastBPE has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

FastBPE has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FastBPE is current.

Quality

FastBPE has no bugs reported.

Security

FastBPE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FastBPE does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

FastBPE releases are not available. You will need to build from source code and install.

FastBPE has no build file. You will be need to create the build yourself to build the component from source.

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FastBPE Key Features

No Key Features are available at this moment for FastBPE.

FastBPE Examples and Code Snippets

No Code Snippets are available at this moment for FastBPE.

Community Discussions

No Community Discussions are available at this moment for FastBPE.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install FastBPE

You can download it from GitHub.
You can use FastBPE 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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