Add library name, pipeline tag, and code-generation tag

README.md

@@ -1,6 +1,11 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- code-generation
 ---
+
 **Paper**: [https://arxiv.org/pdf/2502.07780](https://arxiv.org/pdf/2502.07780)  
 **Code**: https://github.com/IST-DASLab/DarwinLM  
 **Models**: [DarwinLM-2.7B](https://huggingface.co/Shengkun/DarwinLM-2.7B), [DarwinLM-4.6B](https://huggingface.co/Shengkun/DarwinLM-4.6B), [DarwinLM-8.4B](https://huggingface.co/Shengkun/DarwinLM-8.4B)  
@@ -16,7 +21,6 @@ model = AutoModelForCausalLM.from_pretrained("Shengkun/DarwinLM-4.6B-Pruned", tr
 
 ## Downstream Tasks
 
-
 **2.7B**
 
 | Method                     | Param. | SciQ | PIQA | WG   | ArcE | ArcC | HS   | LogiQA | BoolQ | Avg  |
@@ -52,8 +56,6 @@ model = AutoModelForCausalLM.from_pretrained("Shengkun/DarwinLM-4.6B-Pruned", tr
 |                           | **OLMO-0424 (2.05T)**   | 7B     | 96.1 | 80.1 | 72.1 | 73.8 | 49.2 | 78.0 | 29.3   | 80.8  | 52.1 | 67.9 |
 |                           | *DarwinLM (10.0B)*      | 8.4B   | 89.5 | 78.1 | 70.7 | 79.6 | 57.6 | 74.9 | 33.5   | 73.9  | 57.9 | 68.4 |
 
-
-
 ## Bibtex
 ```
 @article{tang2025darwinlm,
@@ -62,4 +64,8 @@ model = AutoModelForCausalLM.from_pretrained("Shengkun/DarwinLM-4.6B-Pruned", tr
   journal={arXiv preprint arXiv:2502.07780},
   year={2025}
 }
-```
+```
+
+---
+
+For any issues or questions, please open an issue or contact us directly. 🚀