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This update improves the Marian model card to follow the Hugging Face standardized model card format. The changes include: - Added a clear description of MarianMT, its architecture, and how it differs from other models. - Provided usage examples for Pipeline and AutoModel. - Added a quantization example for optimizing model inference. - Included instructions and examples for multilingual translation with language codes. - Added an Attention Mask Visualizer example. - Added a Resources section with relevant links to papers, the Marian framework, language codes, tokenizer guides, and quantization documentation. - Fixed formatting issues in the code blocks for correct rendering. This update improves the readability, usability, and consistency of the Marian model documentation for users. |
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| _config.py | ||