Improve model card with pipeline tag and license

This PR adds the `pipeline_tag` and `license` to the model card metadata. The `pipeline_tag` is set to `TEXT_CLASSIFICATION`, which accurately reflects the model's function in extractive question answering and evidence extraction. The license is set to `mit`. This improves discoverability and provides essential information for users.

README.md

@@ -1,12 +1,14 @@
 ---
+language:
+- vi
 library_name: transformers
 tags:
 - SemViQA
 - question-answering
 - fact-checking
 - information-retrieval
-language:
-- vi
+pipeline_tag: TEXT_CLASSIFICATION
+license: mit
 ---
 
 # SemViQA-QATC: Vietnamese Question Answering Token Classifier
@@ -91,5 +93,4 @@ If you use **SemViQA-QATC** in your research, please cite:
 *Built by Dien X. Tran*
 [![LinkedIn](https://img.shields.io/badge/LinkedIn-Profile-blue?logo=linkedin)](https://www.linkedin.com/in/xndien2004/)
 For more details, visit the project repository.
-[![GitHub stars](https://img.shields.io/github/stars/DAVID-NGUYEN-S16/SemViQA?style=social)](https://github.com/DAVID-NGUYEN-S16/SemViQA)
-
+[![GitHub stars](https://img.shields.io/github/stars/DAVID-NGUYEN-S16/SemViQA?style=social)](https://github.com/DAVID-NGUYEN-S16/SemViQA)