bert_socre_test | 测试 transformers 库对bert_score计算的影响

by D-Yifan Python Version: Current License: Apache-2.0

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

kandi X-RAY | bert_socre_test Summary

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

测试 transformers 库对bert_score计算的影响

Support

Quality

Security

License

Reuse

Support

bert_socre_test has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of bert_socre_test is current.

Quality

bert_socre_test has no bugs reported.

Security

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

License

bert_socre_test is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

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bert_socre_test Key Features

No Key Features are available at this moment for bert_socre_test.

bert_socre_test Examples and Code Snippets

No Code Snippets are available at this moment for bert_socre_test.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install bert_socre_test

You can download it from GitHub.
You can use bert_socre_test 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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