Create the README.md file in the 'text_summarization' folder

model_card = """# Model Card for text_summarization

Model Details

• Model Description:
  This model is a fine-tuned version of facebook/bart-base for text summarization using the CNN/DailyMail dataset. It is designed to take long articles as input and generate concise summaries that capture the key points of the text.

• Developed by: Mirza Jamal Nasir

• Model Type: BART-based model for text summarization

• Language(s): English

• License: Apache 2.0

• Finetuned from: facebook/bart-base

• Dataset: CNN/DailyMail (version 3.0.0)

• Repository: text_summarization

---

Model Usage

Direct Use

You can directly use this model to generate summaries of articles. Below is an example of how to use it in Python:

from transformers import pipeline

summarizer = pipeline("summarization", model="mirzajamal750/text_summarization")
article = "Your long news article goes here..."
summary = summarizer(article)
print(summary)