Add library name to model card

This PR ensures the "how to use" button appears on the top right (with a Transformers code snippet), ensuring people can easier use your model.

README.md

@@ -1,15 +1,16 @@
 ---
-license: apache-2.0
-language:
-- en
 base_model:
 - meta-llama/Llama-3.1-8B-Instruct
+language:
+- en
+license: apache-2.0
 pipeline_tag: text-generation
 tags:
 - rag
+library_name: transformers
 ---
 
-
+```markdown
 <div align="center">
   <b style="font-size: 40px;">Ext2Gen-8B-R2</b>
 </div>
@@ -63,7 +64,9 @@ def prepare_sample_text(prompt):
 def format_prompt_template(query, chunk_list):
 
     chunk_list = ['[Chunk ID: '+ str(idx+1) + '] ' + chunk_text for idx, chunk_text in enumerate(chunk_list)]
-    chunk_list = '\n\n'.join(chunk_list)
+    chunk_list = '
+
+'.join(chunk_list)
 
     prompt = '''
 You are an expert assistant trained to extract essential sentences from document chunks and generate answers based on the extracted sentences.
@@ -141,6 +144,4 @@ Our evaluations demonstrate that Ext2Gen-8B-R2 significantly enhances robustness
 See the results in the Figure below:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c9da8d5fdc575773c84816/4mbreGv3QNxKOY8HzCLxx.png)
-
-
-
+```