nlp-pipeline | Includes | Natural Language Processing library

by iryzhkov Python Version: v0.2 License: GPL-3.0

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

kandi X-RAY | nlp-pipeline Summary

nlp-pipeline is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Bert applications. nlp-pipeline has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

NLP pipeline. Currently it supports these stages:.

Support

Quality

Security

License

Reuse

Support

nlp-pipeline has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

nlp-pipeline has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nlp-pipeline is v0.2

Quality

nlp-pipeline has no bugs reported.

Security

nlp-pipeline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nlp-pipeline is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

nlp-pipeline releases are available to install and integrate.

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

Train a model .
Batch data .
Complete a sequence of tokens .
Build a dictionary from a sequence of tokens .
Scrape a single article .
Evaluate the given model .
Run logging .
Generate initial states .
Get article list from a sparql file .
Change tokens in a dictionary .

Get all kandi verified functions for this library.

nlp-pipeline Key Features

No Key Features are available at this moment for nlp-pipeline.

nlp-pipeline Examples and Code Snippets

No Code Snippets are available at this moment for nlp-pipeline.

Community Discussions

Trending Discussions on nlp-pipeline

'NoneType' object has no attribute 'boto_region_name'

QUESTION

'NoneType' object has no attribute 'boto_region_name'

Asked 2020-Jul-08 at 20:14

I've been wrapped around this problem for a while and can't seem to understand where this issue is coming from. I'm deploying a model on Sagemaker and I get the error on this line of code:

sm_model.deploy(initial_instance_count=1, instance_type='ml.m4.2xlarge', endpoint_name=endpoint_name)

Jupyter Notebook outputs the error below. Note: Line 269 isn't code in my Notebook, it is just a reference I get as a result of my model.deploy command above.

...

ANSWER

Answered 2020-Jun-27 at 16:45

It means that something doesn't work right in your code. The variable sagemaker_session doesn't have a value assigned to it that you think it has. First check if the value of that variable is set correctly.

Source https://stackoverflow.com/questions/62557113

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

Vulnerabilities

No vulnerabilities reported

Install nlp-pipeline

There are currently two branches of interest in the respository. Before cloning, consider which set of code you are interested in.
The main branch ("master") comprises work related to MSAI 337 class deliverbale #1 and #2. Cloning this respository will default to the main branch.
The secondary branch ("nn_embedding") comprises work related to experiments with variable emebdding. To switch branches:
After cloning, selecting a branch, and an IDLE of your choosing, from terminal, run the command make install to load all dependencies:
Alternatively you can run this project from Google Colab at the following URL https://colab.research.google.com/drive/13EOfZHtKrgWWwHnF8rGUOewVtwND9Ns-?usp=sharing. Running the COLAB notebook will clone the repository, install depenencides and run the experiement through your browser.

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 .

Find more information at: