Update README.md

README.md

@@ -1,3 +1,50 @@
 ---
 pipeline_tag: summarization
----
+datasets:
+- samsum
+language:
+- en
+metrics:
+- rouge
+library_name: transformers
+widget:
+- text: | 
+    John: Hey! I've been thinking about getting a PlayStation 5. Do you think it is worth it? 
+    Dan: Idk man. R u sure ur going to have enough free time to play it? 
+    John: Yeah, that's why I'm not sure if I should buy one or not. I've been working so much lately idk if I'm gonna be able to play it as much as I'd like.
+- text: | 
+    Sarah: Do you think it's a good idea to invest in Bitcoin?
+    Emily: I'm skeptical. The market is very volatile, and you could lose money.
+    Sarah: True. But there's also a high upside, right?
+- text: | 
+    Madison: Hello Lawrence are you through with the article?
+    Lawrence: Not yet sir.
+    Lawrence: But i will be in a few.
+    Madison: Okay. But make it quick.
+    Madison: The piece is needed by today
+    Lawrence: Sure thing
+    Lawrence: I will get back to you once i am through."
+
+---
+
+# Description
+
+This model is a specialized adaptation of the <b>facebook/bart-large-xsum</b>, fine-tuned for enhanced performance on dialogue summarization using the <b>SamSum</b> dataset.
+
+## Development
+- Kaggle Notebook: [Text Summarization with Large Language Models](https://www.kaggle.com/code/lusfernandotorres/text-summarization-with-large-language-models)
+
+## Usage
+
+```python
+
+from transformers import pipeline
+
+model = pipeline("summarization", model="luisotorres/bart-finetuned-samsum")
+
+conversation = '''Sarah: Do you think it's a good idea to invest in Bitcoin?
+    Emily: I'm skeptical. The market is very volatile, and you could lose money.
+    Sarah: True. But there's also a high upside, right?                                     
+'''
+model(conversation)
+```