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byt5-base-geccc-mate

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Institute of Formal and Applied Linguistics, Charles University, Prague 43

This PR improves the model card for ufal/byt5-base-geccc-mate by:

• Adding pipeline_tag: text-generation to accurately reflect its function as a grammar error correction model that generates corrected text. This ensures the model appears in the correct categories on the Hugging Face Hub (e.g., https://huggingface.co/models?pipeline_tag=text-generation).
• Adding library_name: transformers to the metadata. This is supported by the existing sample code in the "How to Get Started with the Model" section, which uses transformers.AutoTokenizer and transformers.AutoModelForSeq2SeqLM, and by the model's configuration (config.json). This will enable the automated "Use in Transformers" widget on the model page, providing users with a convenient and ready-to-use code snippet for inference.

These changes enhance discoverability and usability for the community.