joint_training | multi-task training methods for Question Answering task

by bowenzhao123 Python Version: Current License: No License

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

kandi X-RAY | joint_training Summary

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

multi-task training methods for Question Answering task

Support

Quality

Security

License

Reuse

Support

joint_training has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of joint_training is current.

Quality

joint_training has no bugs reported.

Security

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

License

joint_training 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

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

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

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joint_training Key Features

No Key Features are available at this moment for joint_training.

joint_training Examples and Code Snippets

No Code Snippets are available at this moment for joint_training.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install joint_training

You can download it from GitHub.
You can use joint_training 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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