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recitation-segmenter-v2

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This PR significantly enhances the model card for recitation-segmenter-v2 by:

• Adding the pipeline_tag: automatic-speech-recognition and language: ar metadata for better discoverability and context on the Hub.
• Including links to the associated paper (Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning), the GitHub repository (https://github.com/obadx/recitations-segmenter), and the project page (https://obadx.github.io/prepare-quran-dataset/).
• Replacing generic placeholders with a detailed model description, intended uses and limitations, and training data information, extracted from the paper abstract and GitHub README.
• Adding relevant tags such as arabic, quran, and speech-segmentation.
• Adding a transformers-based Python code snippet for easy inference, as provided in the original GitHub repository.
• Including a BibTeX citation for proper academic attribution.

These improvements make the model card more informative, discoverable, and user-friendly.