Add pipeline tag and library name to model card

This PR enhances the model card by adding the `pipeline_tag: image-text-to-text` and `library_name: transformers` to the metadata.

- `library_name: transformers`: This addition enables the automated "how to use" code snippet widget on the Hugging Face Hub, showcasing the model's compatibility with the Transformers library, as evidenced by the existing "Quick start" section.
- `pipeline_tag: image-text-to-text`: This tag correctly categorizes the model, which takes both an image and a textual question as input to generate a textual response, improving its discoverability on the Hub.

The existing paper link, project page link, and sample usage section are preserved as they are already accurate and complete.

README.md

@@ -1,5 +1,7 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: image-text-to-text
 ---
 
 # The first R1-styled model (ColonR1) tailored for reasoning in colonoscopy tasks
@@ -67,7 +69,8 @@ Below is a code snippet to help you quickly try out our ColonR1 model using Hugg
 		"3. No extra information or text outside of these tags."
 	)
 
-	final_question = f"{Question}\n{TASK_SUFFIX}"
+	final_question = f"{Question}
+{TASK_SUFFIX}"
 
 	messages = [
 		{
@@ -119,8 +122,4 @@ Feel free to cite if you find the Colon-X Project useful for your work:
 
 # License
 
-This project utilizes certain datasets and checkpoints that are subject to their respective original licenses. Users must comply with all terms and conditions of these original licenses. The content of this project itself is licensed under the Apache license 2.0.
-
-
-
-
+This project utilizes certain datasets and checkpoints that are subject to their respective original licenses. Users must comply with all terms and conditions of these original licenses. The content of this project itself is licensed under the Apache license 2.0.