Add library name tag, link to paper

README.md

@@ -1,27 +1,27 @@
 ---
-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
+license: cc-by-nc-4.0
 pipeline_tag: text-generation
+library_name: transformers
 tags:
 - function-calling
 - LLM Agent
 - tool-use
 - deepseek
 - pytorch
+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>
@@ -206,10 +206,26 @@ def convert_to_xlam_tool(tools):
 
 # Helper function to build the input prompt for our model
 def build_prompt(task_instruction: str, format_instruction: str, tools: list, query: str):
-    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]
+
+"
     return prompt
     
 # Build the input and start the inference
@@ -296,7 +312,8 @@ These resources provide a robust foundation for integrating xLAM models into you
 
 ## License
 
-`xLAM-7b-fc-r` is distributed under the CC-BY-NC-4.0 license, with additional terms specified in the [Deepseek license](https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL).
+`xLAM-7b-fc-r` is distributed under the CC-BY-NC-4.0 license, with additional terms specified in the [Deepseek license](https://github.com/deepseek-ai/deepseek-coder/blob/main/LICENSE-MODEL).
+
 
 ## Ethical Considerations
 
@@ -313,3 +330,4 @@ If you find this repo helpful, please cite our paper:
   year={2024}
 }
 ```
+```