Create README.md

README.md

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+---
+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](https://huggingface.co/facebook/bart-large-cnn)
+
+## How to Use
+
+You can use the model directly with the Hugging Face `transformers` library:
+
+```python
+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)