ipa | NLP Preprocessing Pipeline Wrappers
kandi X-RAY | ipa Summary
kandi X-RAY | ipa Summary
ipa is a Python library. ipa has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install ipa' or download it from GitHub, PyPI.
IPA: import, preprocess, accelerate.
IPA: import, preprocess, accelerate.
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Quality
Security
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Support
ipa has a low active ecosystem.
It has 10 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
ipa has no issues reported. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of ipa is 0.1.1
Quality
ipa has no bugs reported.
Security
ipa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ipa 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.
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ipa releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ipa
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ipa
ipa Key Features
No Key Features are available at this moment for ipa.
ipa Examples and Code Snippets
No Code Snippets are available at this moment for ipa.
Community Discussions
No Community Discussions are available at this moment for ipa.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ipa
Install the library from PyPI:.
Support
With use_gpu=True, the library will use the GPU if it is available. To set up the environment for the GPU, refer to the Stanza documentation and the spaCy documentation.
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