metadata

license: apache-2.0
language:
  - en
metrics:
  - bleu
  - rouge
base_model:
  - facebook/bart-large-cnn
pipeline_tag: summarization
tags:
  - medical

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)