Add text-generation pipeline tag and library name (#2)

- Add text-generation pipeline tag and library name (4dbdd399fc57b63713a6c200301398b8e2f66f84)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,10 +1,9 @@
 ---
-license: apache-2.0
+base_model:
+- MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
 language:
 - en
-base_model:
-- >-
-  MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
+license: apache-2.0
 tags:
 - DeepSeek
 - R1
@@ -13,8 +12,11 @@ tags:
 - JSON
 - Unstructured
 - Structured
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
+```markdown
 # MasterControlAIML R1-Qwen2.5-1.5b SFT R1 JSON Unstructured-To-Structured Model
 
 [![Unsloth](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)](https://github.com/unslothai/unsloth)
@@ -332,7 +334,7 @@ You are an expert data extractor specializing in mapping hierarchical text data
 
 ### STRICT RULES FOR GENERATING OUTPUT:
 1. **Both Tags Required:**  
-   - Always provide both the `<think>` and `<answer>` sections.  
+   - Always provide both the `<think>` and the `<answer>` sections.  
    - If reasoning is minimal, state: "Direct mapping from text to schema."
 2. **JSON Schema Mapping:**  
    - Strictly map the text data to the given JSON Schema without modification or omissions.
@@ -688,4 +690,5 @@ This project is licensed under the [Apache-2.0 License](LICENSE).
 
 ---
 
-Enjoy using the model and these examples as a reference for building your own prompt-driven applications! Happy coding!
+Enjoy using the model and these examples as a reference for building your own prompt-driven applications! Happy coding!
+```