ckip-transformers | CKIP Transformers

by emfomy Python Version: 0.1.0 License: Non-SPDX

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

kandi X-RAY | ckip-transformers Summary

ckip-transformers is a Python library. ckip-transformers has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ckip-transformers has a Non-SPDX License. You can download it from GitHub.

CKIP Transformers

Support

Quality

Security

License

Reuse

Support

ckip-transformers has a low active ecosystem.

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

It had no major release in the last 12 months.

ckip-transformers has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ckip-transformers is 0.1.0

Quality

ckip-transformers has no bugs reported.

Security

ckip-transformers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ckip-transformers has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ckip-transformers releases are available to install and integrate.

Build file is available. You can build the component from source.

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ckip-transformers Key Features

No Key Features are available at this moment for ckip-transformers.

ckip-transformers Examples and Code Snippets

No Code Snippets are available at this moment for ckip-transformers.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ckip-transformers

You can download it from GitHub.
You can use ckip-transformers 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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