FreedomIntelligence

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DeEAR_Base

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FreedomAI 940

This PR significantly enhances the model card for the FreedomIntelligence/DeEAR_Base model by adding crucial metadata and detailed information.

Specifically, it:

• Adds library_name: transformers metadata, as the config.json and preprocessor_config.json indicate compatibility and usage of transformers components (e.g., model_type: wav2vec2, Wav2Vec2FeatureExtractor). This enables the automated "how to use" widget on the model page.
• Adds pipeline_tag: audio-classification to categorize the model for discovery on the Hugging Face Hub, reflecting its task of evaluating speech expressiveness.
• Links to the official Hugging Face paper page: Decoding the Ear: A Framework for Objectifying Expressiveness from Human Preference Through Efficient Alignment.
• Provides a link to the project page: https://freedomintelligence.github.io/ExpressiveSpeech/.
• Includes a link to the GitHub repository: https://github.com/FreedomIntelligence/ExpressiveSpeech.
• Integrates a comprehensive "Introduction", "Key Features", and "Framework Overview" directly from the GitHub README to better describe the model.
• Incorporates a "Sample Usage" section with code snippets directly from the GitHub README's "Quick Start" guide, enabling users to quickly get started with inference.
• Adds the BibTeX citation for proper academic attribution.

These updates aim to make the model more discoverable, easier to understand, and more user-friendly on the Hugging Face Hub.