trankit | Weight Transformer-based Python Toolkit | Natural Language Processing library

by nlp-uoregon Python Version: 1.1.1 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | trankit Summary

trankit is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Transformer applications. trankit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install trankit' or download it from GitHub, PyPI.

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

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Quality

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Support

trankit has a low active ecosystem.

It has 680 star(s) with 91 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 36 open issues and 28 have been closed. On average issues are closed in 39 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of trankit is 1.1.1

Quality

trankit has 0 bugs and 0 code smells.

Security

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

trankit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

trankit 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

trankit 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.

It has 44409 lines of code, 2573 functions and 192 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed trankit and discovered the below as its top functions. This is intended to give you an instant insight into trankit implemented functionality, and help decide if they suit your requirements.

Generate a model .
Compute prediction logits .
Prepare BatchEncoder for training .
Compute log probabilities for prediction .
Convert a single example .
Convert examples to features .
Load a CoNLLU file .
Start memory tracing .
Create a pipeline .
Loads weights from a Tensorflow checkpoint .

Get all kandi verified functions for this library.

trankit Key Features

No Key Features are available at this moment for trankit.

trankit Examples and Code Snippets

Mixing auto instances and strings in Python3 enum values

Python

Lines of Code : 22

License : Strong Copyleft (CC BY-SA 4.0)

Copy

class Confused(Enum):
    ONE = auto()
    TWO = auto()
    THREE = auto()
    FOUR = auto()
    TRIANGLE = 3
    FIVE = auto()

def _generate_next_value_(name, start, count, last_values, *args, **kwds):
    return

Community Discussions

Trending Discussions on trankit

Mixing auto instances and strings in Python3 enum values

QUESTION

Mixing auto instances and strings in Python3 enum values

Asked 2021-Jan-29 at 16:31

I am building a general-purpose NLP pipeline that will be able to use one of the several state-of-the-art NLP libraries currently out there. The library and exact model to use will be specified when instantiating the general purpose pipe. For this, I have created an enum whose values will be passed over to the general pipe's init and looks like this for now (only the spaCy part is ready):

...

ANSWER

Answered 2021-Jan-29 at 16:29

The reason for the warning is that mixing auto-assigned numeric values and manually assigned numeric values could end up duplicating values. The Enum and IntEnum auto() use the last value seen and increment by one, so it's possible to specify a value already given by auto() and end up with an alias instead of a unique member:

Source https://stackoverflow.com/questions/65953189

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

Vulnerabilities

No vulnerabilities reported

Install trankit

Trankit can be easily installed via one of the following methods:. The command would install Trankit and all dependent packages automatically. This would first clone our github repo and install Trankit.

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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