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mirzajamal750/
text_summarization

Name: text_summarization
Availability: InStock

safetensors

bart

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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:

python

from transformers import pipeline

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