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| title: README | |
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| π» | |
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| π | |
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| β¨ | |
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| <text x="50%" y="125" class="text-main" style="font-size: 20px; opacity: 0.7; letter-spacing: 5px; text-transform: uppercase;">Welcome to the</text> | |
| <text x="50%" y="190" class="text-main" style="font-size: 68px; letter-spacing: -2px; filter: drop-shadow(0 0 10px rgba(255,255,255,0.4));">Gemmaverse</text> | |
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| **Welcome to the Gemmaverse on Hugging Face!** The Gemmaverse is a place where together, we push the boundaries of whatβs possible with AI. | |
| Explore our collections of Gemma model variants and tools built by [Google](https://huggingface.co/google) and the community: | |
| * [Vision](https://huggingface.co/collections/Gemmaverse/vision) - Vision Language Models (VLMs) for multimodal understanding | |
| * [Audio](https://huggingface.co/collections/Gemmaverse/audio) - Models with speech and/or audio processing | |
| * [Multilingual](https://huggingface.co/collections/Gemmaverse/multilingual) - Models that improve linguistic capabilities beyond English | |
| * [Health](https://huggingface.co/collections/Gemmaverse/health) - Models for medical or healthcare domains | |
| * [Embeddings](https://huggingface.co/collections/Gemmaverse/embeddings) - Models for semantic search, Retrieval-Augmented Generation (RAG), and data clustering | |
| * [Responsible AI](https://huggingface.co/collections/Gemmaverse/responsible-ai) - Models and tools for enhancing safety, privacy, and security | |
| * [Performance](https://huggingface.co/collections/Gemmaverse/performance) - Optimized versions for mobile and edge devices | |
| * [Demos](https://huggingface.co/collections/Gemmaverse/demos) - Try out Gemma models, no setup required | |
| Learn more about Gemma at [deepmind.google/models/gemma](https://deepmind.google/models/gemma/). | |
| </body> |