My Summarization Model 📝
Model Description
This model is a fine-tuned version of facebook/bart-large-cnn on medical text data. It is designed for text summarization tasks and can generate concise summaries for lengthy medical documents, making it useful for healthcare professionals and researchers.
Model Type
- Architecture: BART (Bidirectional and Auto-Regressive Transformers)
- Pre-trained Base Model: facebook/bart-large-cnn
How to Use
You can use the model directly with the Hugging Face transformers library:
from transformers import pipeline
summarizer = pipeline("summarization", model="Abdelrahman-Hassan-1/Medical-RAG-Model")
text = """Your long medical text here."""
summary = summarizer(text)
print(summary)
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Base model
facebook/bart-large-cnn