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mdeberta-v3-base-subjectivity-sentiment-arabic

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

• Adding the pipeline_tag: text-classification metadata for better discoverability.
• Updating the license metadata from mit to cc-by-4.0 to accurately reflect the license stated in the project's GitHub repository.
• Adding descriptive tags like subjectivity-detection, sentiment-analysis, multilingual, and deberta-v3.
• Updating the paper link in the content to point to the Hugging Face Papers page.
• Adding a direct link to the GitHub repository for the code.
• Populating the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with detailed information extracted from the paper abstract and the GitHub README.
• Including a practical "How to use" section with both transformers.pipeline code and command-line examples.
• Adding a BibTeX citation for the paper.

These updates aim to provide a more complete, accurate, and user-friendly resource for anyone looking to understand and utilize this model.