Update model card with paper link and correct pipeline tag

README.md

@@ -1,16 +1,10 @@
 ---
-extra_gated_heading: Acknowledge to follow corresponding license to access the repository
-extra_gated_button_content: Agree and access repository
-extra_gated_fields:
-  First Name: text
-  Last Name: text
-  Country: country
-  Affiliation: text
-license: cc-by-nc-4.0
 datasets:
 - Salesforce/xlam-function-calling-60k
 language:
 - en
+library_name: transformers
+license: cc-by-nc-4.0
 pipeline_tag: text-generation
 tags:
 - function-calling
@@ -18,9 +12,16 @@ tags:
 - tool-use
 - mistral
 - pytorch
-library_name: transformers
+extra_gated_heading: Acknowledge to follow corresponding license to access the repository
+extra_gated_button_content: Agree and access repository
+extra_gated_fields:
+  First Name: text
+  Last Name: text
+  Country: country
+  Affiliation: text
 ---
 
+```markdown
 <p align="center">
 <img width="500px" alt="xLAM" src="https://huggingface.co/datasets/jianguozhang/logos/resolve/main/xlam-no-background.png">
 </p>
@@ -191,15 +192,35 @@ def build_conversation_history_prompt(conversation_history: str):
         })
         
     history_string = json.dumps(parsed_history)
-    return f"\n[BEGIN OF HISTORY STEPS]\n{history_string}\n[END OF HISTORY STEPS]\n"
+    return f"
+[BEGIN OF HISTORY STEPS]
+{history_string}
+[END OF HISTORY STEPS]
+"
     
     
 # Helper function to build the input prompt for our model
 def build_prompt(task_instruction: str, format_instruction: str, tools: list, query: str, conversation_history: list):
-    prompt = f"[BEGIN OF TASK INSTRUCTION]\n{task_instruction}\n[END OF TASK INSTRUCTION]\n\n"
-    prompt += f"[BEGIN OF AVAILABLE TOOLS]\n{json.dumps(xlam_format_tools)}\n[END OF AVAILABLE TOOLS]\n\n"
-    prompt += f"[BEGIN OF FORMAT INSTRUCTION]\n{format_instruction}\n[END OF FORMAT INSTRUCTION]\n\n"
-    prompt += f"[BEGIN OF QUERY]\n{query}\n[END OF QUERY]\n\n"
+    prompt = f"[BEGIN OF TASK INSTRUCTION]
+{task_instruction}
+[END OF TASK INSTRUCTION]
+
+"
+    prompt += f"[BEGIN OF AVAILABLE TOOLS]
+{json.dumps(xlam_format_tools)}
+[END OF AVAILABLE TOOLS]
+
+"
+    prompt += f"[BEGIN OF FORMAT INSTRUCTION]
+{format_instruction}
+[END OF FORMAT INSTRUCTION]
+
+"
+    prompt += f"[BEGIN OF QUERY]
+{query}
+[END OF QUERY]
+
+"
     
     if len(conversation_history) > 0: prompt += build_conversation_history_prompt(conversation_history)
     return prompt
@@ -479,4 +500,5 @@ If you find this repo helpful, please consider to cite our papers:
   journal={arXiv preprint arXiv:2402.15506},
   year={2024}
 }
+```
 ```