Flan T5 Base Summarization

🚀 Transformers Summarization Model

This project provides a summarization pipeline using the transformers library. It leverages a pre - trained model to generate summaries from given text.

🚀 Quick Start

Prerequisites

Make sure you have the transformers library installed.

📦 Installation

You can install the transformers library using the following command:

pip install transformers

💻 Usage Examples

Basic Usage

from transformers import pipeline

max_length = 50
min_length = 10
model_id = "marianna13/flan-t5-base-summarization"

summarizer = pipeline("summarization", model=model_id, max_length=max_length, min_length=min_length)

text = ''' For I am convinced that neither death nor life, neither angels nor demons, neither the present nor the future, nor any powers, neither height nor depth, nor anything else in all creation, will be able to separate us from the love of God that is in Christ Jesus our Lord.'''
print(text)
print('##### Summary:')
print(summarizer(text)[0]['summary_text'])

#  For I am convinced that neither death nor life, neither angels nor demons, neither the present nor the future, nor any powers, neither height nor depth, nor anything else in all creation, will be able to separate us from the love of God that is in Christ Jesus our Lord.
# ##### Summary:
# "I am convinced that neither death, life, angels, demons, present, future, powers, height, depth, or anything else in all creation can separate us from the love of God that is in Christ Jesus our Lord."

📚 Documentation

Model Information