NLP_Toolkit | Library of state-of-the-art models for NLP tasks | Natural Language Processing library

by plkmo Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | NLP_Toolkit Summary

NLP_Toolkit is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert, Neural Network, Transformer applications. NLP_Toolkit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Library of state-of-the-art models (PyTorch) for NLP tasks

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Quality

Security

License

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Support

NLP_Toolkit has a low active ecosystem.

It has 73 star(s) with 18 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 8 have been closed. On average issues are closed in 24 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NLP_Toolkit is current.

Quality

NLP_Toolkit has no bugs reported.

Security

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

License

NLP_Toolkit 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

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Generate a tokenizer
Generate beam search
Filters the logits with the top - k filter
Determine if outputs past the given outputs
Create a model from pretrained pretrained model
HTTP GET method
Return the path to a file
Download a file from the cache
Forward attention
Convert a list of tokens into indices
Encodes the given text with the given text pair
Create a Tokenizer from a pretrained model
Evaluate inference
Load weights from a TensorFlow model
Create a PretrainedConfig from a pretrained model
Add special tokens to the tokenizer
Compute the forward attention layer
Performs the forward computation
Return a list of filenames
Loads the given config file
Create an AutoModel from a pretrained model
Infer a single sentence
Encodes a batch of inputs
Infer from pretrained tokenization
Infer from data
Train and fit the given model

Get all kandi verified functions for this library.

NLP_Toolkit Key Features

No Key Features are available at this moment for NLP_Toolkit.

NLP_Toolkit Examples and Code Snippets

No Code Snippets are available at this moment for NLP_Toolkit.

Community Discussions

Trending Discussions on NLP_Toolkit

SpaCy: Person entities missing

How to fix UnicodeDecodeError: 'ascii' codec can't decode byte?

QUESTION

SpaCy: Person entities missing

Asked 2018-Mar-29 at 10:05

I have some issues with spaCy missing Person entities. Below is an example when it seems like SpaCy is going blind when the name is preceded with certain titles. When you remove Labour MP (commented line) it recognises the name otherwise returns an empty list.

...

ANSWER

Answered 2018-Mar-29 at 10:05

I tried your code with Spacy Version 2.0.7 and it does give "Luciana Berger" as an entity for the sentence

I am getting this list ['Luciana Berger'] for sentence "In a recent tweet, Labour MP Luciana Berger sought clarification..."

Also for other sentence, it gives "James Mill"

Maybe if you want to try the newer version, try to install in Virtual Environment, that way you can experiment on both versions. You can take help of this how to use virtual enviornment. In fact I will recommend using Virtual env as switching between versions is quite lengthy process. So better try before you switch.

Also just for reference, NERs are working in Spacy on "Training of Models", here is the link. So it can happen that not every name will be covered in NER.

Source https://stackoverflow.com/questions/49532259

QUESTION

How to fix UnicodeDecodeError: 'ascii' codec can't decode byte?

Asked 2017-May-19 at 10:00

UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 0: ordinal not in range(128)

...

ANSWER

Answered 2017-May-07 at 22:36

When you get an decoding error with the 'ascii' codec, that's usually an indication that a byte string is being used in a context where a Unicode string is required (in Python 2, Python 3 won't allow it at all).

Since you've imported from __future__ import unicode_literals, the string "'s" is Unicode. This means the string you're trying to strip must be a Unicode string too. Fix that and you won't get the error anymore.

Source https://stackoverflow.com/questions/43833845

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

Vulnerabilities

No vulnerabilities reported

Install NLP_Toolkit

Alternatively, you can just use it as a non-packaged repo after git clone.

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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