[Community contributions] Model cards

Problem

Hey friends! 👋 We are currently in the process of improving the Transformers model cards by making them more directly useful for everyone. The main goal is to: 1. Standardize all model cards with a consistent format so users know what to expect when moving between different model cards or trying to learn how to use a new model. 2. Include a brief description of the model (what makes it unique/different) written in a way that's accessible to everyone. 3. Provide ready to use code examples featuring the `Pipeline`, `AutoModel`, and `transformers-cli` with available optimizations included. For large models, provide a quantization example so its easier for everyone to run the model. 4. Include an attention mask visualizer for currently supported models to help users visualize what a model is seeing (refer to #36630) for more details. Compare the before and after model cards below: With so many models in Transformers, we could really use some a hand with standardizing the existing model cards. If you're interested in making a contribution, pick a model from the list below and then you can get started! Steps Each model card should follow the format below. You can copy the text exactly as it is! [code block]py from transformers.utils.attention_visualizer import AttentionMaskVisualizer visualizer = AttentionMaskVisualizer("google/gemma-3-4b-it") visualizer("<img>What is shown in this image?") \[code block]py <insert relevant code snippet here related to the note if its