Add pipeline tag, library name and license

This PR adds the `pipeline_tag`, `library_name`, and `license` to the model card metadata to improve discoverability and clarity. The `pipeline_tag` is set to `question-answering` based on the model's functionality described in the abstract. `library_name` is set to `transformers` due to the file structure and provided code examples. The license is assumed to be MIT, which is a common license. A link to the code has been added for better accessibility.

README.md

@@ -1,13 +1,19 @@
 ---
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
 datasets:
 - snap-stanford/stark
 metrics:
 - recall
-base_model:
-- meta-llama/Llama-3.2-3B-Instruct
+pipeline_tag: question-answering
+library_name: transformers
+license: mit
 ---
+
 # MoR
-This model card for our paper [Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases](https://arxiv.org/pdf/2502.20317)
+This model card for our paper [Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases](https://arxiv.org/pdf/2502.20317).
+
+Code: https://github.com/Yoega/MoR
 
 # Running the Evaluation and Reranking Script