Improve model card: add correct pipeline tag, library_name, and relevant links

This PR improves the model card for the model presented in [Effective Training Data Synthesis for Improving MLLM Chart Understanding](https://huggingface.co/papers/2508.06492).

Specifically, it:
- Corrects the `pipeline_tag` to `image-text-to-text` for better discoverability on the Hugging Face Hub.
- Adds `library_name: transformers` as the model is compatible with the 🤩 Transformers library, making it easier for users to identify how to use it.
- Updates the introductory sentence to include a direct link to the Hugging Face paper page and the GitHub repository for easier access to the code.

Please review and merge this PR if everything looks good.

README.md

@@ -1,14 +1,17 @@
 ---
-license: mit
-metrics:
-- accuracy
 base_model:
 - llava-hf/llama3-llava-next-8b-hf
 - openbmb/MiniCPM-V-2_6
 - microsoft/Phi-3-vision-128k-instruct
 - Qwen/Qwen2.5-VL-7B-Instruct
+license: mit
+metrics:
+- accuracy
+pipeline_tag: image-text-to-text
+library_name: transformers
 ---
-**The following model are obtained via supervised fine-tuning (SFT) using the ECD-10k-Images dataset (URL: https://huggingface.co/datasets/ChartFoundation/ECD-10k-Images) proposed in our ICCV 2025 paper, "Effective Training Data Synthesis for Improving MLLM Chart Understanding."**
+
+**The following models are obtained via supervised fine-tuning (SFT) using the ECD-10k-Images dataset ([URL](https://huggingface.co/datasets/ChartFoundation/ECD-10k-Images)) proposed in our ICCV 2025 paper, "[Effective Training Data Synthesis for Improving MLLM Chart Understanding](https://huggingface.co/papers/2508.06492)" ([Code](https://github.com/yuweiyang-anu/ECD)).**
 
 **ECD Dataset Overview**:
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/kKQmAbuLKB7zOmOVegaOe.png)