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SPECS

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This PR significantly enhances the model card for SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation by:

• Adding the pipeline_tag: zero-shot-image-classification to the metadata, improving discoverability on the Hub (e.g., https://huggingface.co/models?pipeline_tag=zero-shot-image-classification).
• Including the paper title and a direct link to the Hugging Face paper page: SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation.
• Adding a link to the official GitHub repository: https://github.com/mbzuai-nlp/SPECS.
• Incorporating the paper abstract into the model card content for better understanding.
• Adding a comprehensive BibTeX citation for proper academic attribution.

The existing Python usage example has been retained as it is directly applicable and sourced from the official GitHub repository. No library_name was added as there was no evidence of compatibility with Hugging Face specific libraries. The provided project page URL was deemed irrelevant to SPECS and therefore omitted.