Regie  Lucas

Regie Lucas

1615571940

AI Text Summarization with Hugging Face Transformers in 4 Lines of Python

Using Hugging Face Transformers you can leverage a pre-trained summarisation pipeline to start summarising content. In fact in just 4 lines of Python code you can begin to summarise blog posts. It’s ridiculously easy to get started with and the fun just begins there, there’s so much more stuff you can do with the Hugging Face Transformers library!

In this video you’ll go through:

  1. Installing Hugging Face Transformers
  2. Building a summarization pipeline
  3. Running an encoding decoding model for summarization

Chapters
0:00​ - Start
1:09​ - Installing Hugging Face Transformers
3:12​ - Loading the Summarization Pipeline
4:20​ - Generating a Summary

Get the CODE: https://github.com/nicknochnack/Huggi…

Subscribe: https://www.youtube.com/channel/UCHXa4OpASJEwrHrLeIzw7Yg

#python #ai

What is GEEK

Buddha Community

AI Text Summarization with Hugging Face Transformers in 4 Lines of Python

Top 6 Alternatives To Hugging Face

  • With Hugging Face raising $40 million funding, NLPs has the potential to provide us with a smarter world ahead.

In recent news, US-based NLP startup, Hugging Face  has raised a whopping $40 million in funding. The company is building a large open-source community to help the NLP ecosystem grow. Its transformers library is a python-based library that exposes an API for using a variety of well-known transformer architectures such as BERT, RoBERTa, GPT-2, and DistilBERT. Here is a list of the top alternatives to Hugging Face .

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#opinions #alternatives to hugging face #chatbot #hugging face #hugging face ai #hugging face chatbot #hugging face gpt-2 #hugging face nlp #hugging face transformer #ibm watson #nlp ai #nlp models #transformers

Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Regie  Lucas

Regie Lucas

1615571940

AI Text Summarization with Hugging Face Transformers in 4 Lines of Python

Using Hugging Face Transformers you can leverage a pre-trained summarisation pipeline to start summarising content. In fact in just 4 lines of Python code you can begin to summarise blog posts. It’s ridiculously easy to get started with and the fun just begins there, there’s so much more stuff you can do with the Hugging Face Transformers library!

In this video you’ll go through:

  1. Installing Hugging Face Transformers
  2. Building a summarization pipeline
  3. Running an encoding decoding model for summarization

Chapters
0:00​ - Start
1:09​ - Installing Hugging Face Transformers
3:12​ - Loading the Summarization Pipeline
4:20​ - Generating a Summary

Get the CODE: https://github.com/nicknochnack/Huggi…

Subscribe: https://www.youtube.com/channel/UCHXa4OpASJEwrHrLeIzw7Yg

#python #ai

Alec  Nikolaus

Alec Nikolaus

1599758100

Convert Text to Speech in Python

Learn how to convert your Text into Voice with Python and Google APIs

Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio with a button click or finger touch. Text to speech python project is very helpful for people who are struggling with reading.

Project Prerequisites

To implement this project, we will use the basic concepts of Python, Tkinter, gTTS, and playsound libraries.

  • Tkinter is a standard GUI Python library that is one of the fastest and easiest ways to build GUI applications using Tkinter.
  • gTTS (Google Text-to-Speech) is a Python library, which is a very easy library that converts the text into audio.
  • The playsound module is used to play audio files. With this module, we can play a sound file with a single line of code.

To install the required libraries, you can use pip install command:

pip install tkinter
pip install gTTS
pip install playsound

Download Python Text to Speech Project Code

Please download the source code of Text to Speech Project: Python Text to Speech

Text to Speech Python Project

The objective of this project is to convert the text into voice with the click of a button. This project will be developed using Tkinter, gTTs, and playsound library.

In this project, we add a message which we want to convert into voice and click on play button to play the voice of that text message.

  • Importing the modules
  • Create the display window
  • Define functions

So these are the basic steps that we will do in this Python project. Let’s start.

#python tutorials #python project #python project for beginners #python text to speech #text to speech convertor #python