Enhance model card with `transformers` metadata, abstract, features, and sample usage

#1
by nielsr HF Staff - opened

This PR aims to significantly improve the model card by enriching its content and adding key metadata.

Key changes include:

  • Adding library_name: transformers to the metadata, which enables the automated "Use in Transformers" code snippet and improves discoverability. The model's configuration files (e.g., tokenizer_config.json, generation_config.json, adapter_config.json) indicate compatibility with the transformers library.
  • Adding a detailed "Abstract" section to provide a comprehensive overview of the model from the paper.
  • Including a "Key Features" section, directly extracted from the GitHub README, to highlight the model's main strengths.
  • Incorporating a "Sample Usage" section, using the "Inference" instructions and code snippets directly from the GitHub README, to guide users on how to run evaluations with the model.
  • Adding the "Citation" section from the GitHub README for proper attribution.

These updates will make the model card more informative and user-friendly for the Hugging Face community.

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