Add pipeline tag and link to code

This PR ensures people can find your model at https://huggingface.co/models?pipeline_tag=text-generation as well as links to the code repository.

README.md

@@ -1,21 +1,17 @@
 ---
-license: mit
 library_name: transformers
+license: mit
+pipeline_tag: text-generation
 ---
 
 <p align="center">
   <img src="https://github.com/yinjjiew/Data/raw/main/cure/overviewplot.png" width="100%"/>
 </p>
 
-
 <p align="center">
   <img src="https://github.com/yinjjiew/Data/raw/main/cure/results.png" width="100%"/>
 </p>
 
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 # Introduction to our ReasonFlux-Coders
 
 We introduce **ReasonFlux-Coders**, trained with **CURE**, our algorithm for co-evolving an LLM's coding and unit test generation abilities.
@@ -23,7 +19,6 @@ We introduce **ReasonFlux-Coders**, trained with **CURE**, our algorithm for co-
 * **ReasonFlux-Coder-7B** and **ReasonFlux-Coder-14B** outperform similarly sized Qwen Coders, DeepSeek Coders, and Seed-Coders, and naturally integrate into common test-time scaling and agentic coding pipelines.
 * **ReasonFlux-Coder-4B** is our Long-CoT model, outperforming Qwen3-4B while achieving 64.8% efficiency in unit test generation. We have demonstrated its ability to serve as a reward model for training base models via reinforcement learning (see our [paper](https://arxiv.org/abs/2506.03136)).
 
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 [Paper](https://arxiv.org/abs/2506.03136) | [Code](https://github.com/Gen-Verse/CURE)
 
 # Citation