Add pipeline tag, library name, and link to code

This PR improves the model card by:

- Adding `pipeline_tag: image-text-to-text` to the metadata, ensuring the model can be found under the correct pipeline filter on the Hugging Face Hub.
- Adding `library_name: transformers` to the metadata, which enables the "how to use" widget on the model page.
- Adding an explicit link to the GitHub repository for easier access to the code.

README.md

@@ -1,10 +1,12 @@
 ---
-license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
 datasets:
 - Code2Logic/GameQA-140K
 - Code2Logic/GameQA-5K
-base_model:
-- Qwen/Qwen2.5-VL-7B-Instruct
+license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
 ---
 
 ***This model (GameQA-Qwen2.5-VL-7B) results from training Qwen2.5-VL-7B with GRPO solely on our [GameQA-5K](https://huggingface.co/datasets/Code2Logic/GameQA-5K) (sampled from the full [GameQA-140K](https://huggingface.co/datasets/Gabriel166/GameQA-140K) dataset).***
@@ -23,7 +25,9 @@ It's also found that getting trained on 5k samples from our GameQA dataset can l
 
 This is the first work, to the best of our knowledge, that leverages ***game code*** to synthesize multimodal reasoning data for ***training*** VLMs. Furthermore, when trained with a GRPO strategy solely on **GameQA** (synthesized via our proposed **Code2Logic** approach), multiple cutting-edge open-source models exhibit significantly enhanced out-of-domain generalization.
 
-[[📖 Paper](https://arxiv.org/abs/2505.13886)] [[🤗 GameQA-140K Dataset](https://huggingface.co/datasets/Gabriel166/GameQA-140K)] [[🤗 GameQA-5K Dataset](https://huggingface.co/datasets/Code2Logic/GameQA-5K)] [[🤗 GameQA-InternVL3-8B](https://huggingface.co/Code2Logic/GameQA-InternVL3-8B) ] [[🤗 GameQA-Qwen2.5-VL-7B](https://huggingface.co/Code2Logic/GameQA-Qwen2.5-VL-7B)] [[🤗 GameQA-LLaVA-OV-7B](https://huggingface.co/Code2Logic/GameQA-llava-onevision-qwen2-7b-ov-hf) ]
+[[\ud83d\udcd6 Paper](https://arxiv.org/abs/2505.13886)] [[\ud83e\udd17 GameQA-140K Dataset](https://huggingface.co/datasets/Gabriel166/GameQA-140K)] [[\ud83e\udd17 GameQA-5K Dataset](https://huggingface.co/datasets/Code2Logic/GameQA-5K)] [[\ud83e\udd17 GameQA-InternVL3-8B](https://huggingface.co/Code2Logic/GameQA-InternVL3-8B) ] [[\ud83e\udd17 GameQA-Qwen2.5-VL-7B](https://huggingface.co/Code2Logic/GameQA-Qwen2.5-VL-7B)] [[\ud83e\udd17 GameQA-LLaVA-OV-7B](https://huggingface.co/Code2Logic/GameQA-llava-onevision-qwen2-7b-ov-hf) ]
+
+Code: https://github.com/tongjingqi/Code2Logic
 
 <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/categorized_30_games_images.png"></div>