mfa-models | pretrained models for the Montreal Forced Aligner

by MontrealCorpusTools Python Version: tokenizer-japanese_mfa-v2.2.1 License: CC-BY-4.0

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kandi X-RAY | mfa-models Summary

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

Collection of pretrained models for the Montreal Forced Aligner

Support

Quality

Security

License

Reuse

Support

mfa-models has a low active ecosystem.

It has 67 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 3 have been closed. On average issues are closed in 99 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mfa-models is tokenizer-japanese_mfa-v2.2.1

Quality

mfa-models has no bugs reported.

Security

mfa-models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mfa-models is licensed under the CC-BY-4.0 License. This license is Permissive.

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

Reuse

mfa-models releases are available to install and integrate.

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

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mfa-models Key Features

No Key Features are available at this moment for mfa-models.

mfa-models Examples and Code Snippets

No Code Snippets are available at this moment for mfa-models.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install mfa-models

You can download it from GitHub.
You can use mfa-models 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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