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: transformersto 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 thetransformerslibrary. - 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.