This demo showcases how to use Hugging Face's pre-trained models for text summarization tasks. You can try it directly in your browser or integrate it into your projects!

📌 Models Overview

Hugging Face provides powerful summarization models like:

  • facebook/bart-large-cnn
  • t5-small
  • pegasus_single_model

These models are trained on large corpora and can condense long texts into concise summaries.

🖥️ How to Use

  1. Install the library: 
    pip install transformers
  2. Load a pre-trained model: 
    from transformers import pipeline  
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
  3. Run inference: 
    result = summarizer("Your long text here...", max_length=150, min_length=50)  
print(result[0]['summary_text'])

📚 Extend Your Knowledge

For deeper insights, check out our model documentation or explore fine-tuning guides.

Text_Summarization

AI transforming text with precision!

Need help? Join our community forum for discussions and support. 🌐