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mdeberta-v3-base-subjectivity-sentiment-english

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This PR significantly enhances the model card for mdeberta-v3-base-subjectivity-sentiment-english by:

• Adding pipeline_tag: text-classification to the metadata, which is crucial for model discoverability and proper integration with the Hugging Face Hub's UI and features.
• Correcting the license from mit to cc-by-4.0, which is explicitly stated in the associated GitHub repository.
• Adding more descriptive tags such as subjectivity-detection, news, checkthat2025, and mdeberta-v3 for improved searchability and categorization.
• Correcting the paper link to ensure it uses the full https:// protocol.
• Populating the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with detailed information extracted from the paper abstract and the project's GitHub README, providing a comprehensive overview.
• Adding a dedicated "Code" section with a direct link to the official GitHub repository for easy access to the source code and training scripts.
• Including a "How to use" section with a clear Python usage example for text classification with the transformers library.
• Adding a "Citation" section with the correct BibTeX entry for the paper.
• Removing the auto-generated comment at the top of the content.

These updates aim to make the model card more informative, discoverable, and user-friendly.