Improve model card with pipeline tag and library name

This PR improves the model card by:

- Adding the `pipeline_tag: image-text-to-text` to better categorize the model on the Hugging Face Hub. This allows users searching for image-to-text models to easily find this one.
- Specifying the `library_name: transformers`, clarifying that the model utilizes the Transformers library.

This enhances discoverability and provides crucial context for users.

README.md

@@ -1,15 +1,17 @@
 ---
-license: mit
 base_model:
 - Qwen/Qwen2-VL-2B-Instruct
+license: mit
+library_name: transformers
+pipeline_tag: image-text-to-text
 ---
 
 # GUI-Actor-2B with Qwen2-VL-2B as backbone VLM
 
-This model was introduced in the paper [**GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents**](https://aka.ms/GUI-Actor).
+This model was introduced in the paper [GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents](https://www.arxiv.org/pdf/2506.03143).
 It is developed based on [Qwen2-VL-2B-Instruct ](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct), augmented by an attention-based action head and finetuned to perform GUI grounding using the dataset [here (coming soon)]().
 
-For more details on model design and evaluation, please check: [🏠 Project Page](https://aka.ms/GUI-Actor) | [💻 Github Repo](https://github.com/microsoft/GUI-Actor) | [📑 Paper](https://www.arxiv.org/pdf/2506.03143).
+For more details on model design and evaluation, please check: [🏠 Project Page](https://microsoft.github.io/GUI-Actor/) | [💻 Github Repo](https://github.com/microsoft/GUI-Actor) | [📑 Paper](https://www.arxiv.org/pdf/2506.03143).
 
 | Model Name                                  | Hugging Face Link                         |
 |--------------------------------------------|--------------------------------------------|