Git Product home page Git Product logo

Comments (1)

bakrianoo avatar bakrianoo commented on June 4, 2024

Hi
It's supposed not to be an issue as your question about a different package which not supported by us.
But let me trying to help you in this. As I understood from textaugment doc page, you need to load the model firstly to use it. For example, If you are going to download and extract the Twitter-CBOW model, the code will be like this

from textaugment import Word2vec
runs = 1 # By default.
v = False # verbose mode to replace all the words. If enabled runs is not effective. Used in this paper
p = 0.5 # The probability of success of an individual trial. (0.1<p<1.0), default is 0.5. Used by Geometric distribution to selects words from a sentence.

t = Word2vec(model='./full_grams_cbow_100_twitter/', runs=5, v=False, p=0.5)
print(t.augment('جملة ما عبرت هنا'))

I did not tested the above code, but hope it will work.
Also, I am going to close this issue as it's not realted to the AraVec project.

from aravec.

Related Issues (15)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.