This PR significantly improves the model card for the `Video-MTR` model by:
* **Updating the `pipeline_tag`**: Changed from `visual-question-answering` to `video-text-to-text`. This new tag more accurately reflects the model's capabilities in long video understanding and multi-turn reasoning for question comprehension, enhancing its discoverability on the Hub (https://huggingface.co/models?pipeline_tag=video-text-to-text).
* **Adding `library_name: transformers`**: Evidence from `config.json` (e.g., `architectures: ["Qwen2_5_VLForConditionalGeneration"]`, `transformers_version: "4.49.0"`) confirms compatibility with the Hugging Face `transformers` library, enabling automated "how to use" code snippets for users.
* **Expanding the model card content**:
* Added the full paper title as the main heading.
* Included the complete paper abstract to provide detailed insights into the model's methodology and contributions.
* The paper link in the content remains `https:…
