visuals-tokenization


Namevisuals-tokenization JSON
Version 0.1.2 PyPI version JSON
download
home_pageNone
SummaryLibrary to visualize different tokenization methords
upload_time2024-09-21 05:31:51
maintainerNone
docs_urlNone
authorMarcel Tino
requires_pythonNone
licenseNone
keywords tokens visual_tokenizations
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
[English](README.md) | [Español](./docs/README.es.md) | [Français](./docs/README.fr.md) | [Deutsch](./docs/README.de.md) | [中文](./docs/README.zh.md) | [Türkçe](./docs/README.tr.md) | [日本語](./docs/README.ja.md) | [한국어](./docs/README.ko.md)

## visuals_tokenization

A library to view how different tokenization performss

Developed by Marcel Tino (c) 2024

## Examples of How To Use the library 

You can use this to alter according to your requirements


```
##syntax
from visual_tokenization import view_tokenize

view_tokenize(text)
```


```python

text="Strong economic growth in the first quarter of FY23 helped India overcome the UK to become the fifth-largest economy after it recovered from the COVID-19 pandemic shock. Nominal GDP or GDP at Current Prices in the year 2023-24 is estimated at Rs. 295.36 lakh crores (US$ 3.54 trillion), against the First Revised Estimates (FRE) of GDP for the year 2022-23 of Rs. 269.50 lakh crores (US$ 3.23 trillion). The growth in nominal GDP during 2023-24 is estimated at 9.6% as compared to 14.2% in 2022-23. Strong domestic demand for consumption and investment, along with Government’s continued emphasis on capital expenditure are seen as among the key driver of the GDP in the second half of FY24. During the period April-June 2025, India’s exports stood at US$ 109.11 billion, with Engineering Goods (25.35%), Petroleum Products (18.33%) and electronic goods (7.73%) being the top three exported commodity. Rising employment and increasing private consumption, supported by rising consumer sentiment, will support GDP growth in the coming months."

from visual_tokenization import view_tokenize

view_tokenize(text)

```


+ Share visual_tokenizations on these social media platforms if you like it!
[![Reddit](https://img.shields.io/badge/share%20on-reddit-red?style=flat-square&logo=reddit)](https://reddit.com/submit?url=https://github.com/Kanaries/pygwalker&title=Say%20Hello%20to%20pygwalker%3A%20Combining%20Jupyter%20Notebook%20with%20a%20Tableau-like%20UI)
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[![Twitter](https://img.shields.io/badge/share%20on-twitter-03A9F4?style=flat-square&logo=twitter)](https://twitter.com/share?url=https://github.com/Kanaries/pygwalker&text=Say%20Hello%20to%20pygwalker%3A%20Combining%20Jupyter%20Notebook%20with%20a%20Tableau-alternative%20UI)
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