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  * **RecurrentGemma** is a family of open language models built on a novel recurrent architecture developed at Google
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  * **ShieldGemma** is a series of safety content moderation models built upon Gemma 2 that target four harm categories
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  * [**Health AI Developer Foundations**](https://developers.google.com/health-ai-developer-foundations)
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- * * [**CXR Foundation**](https://huggingface.co/google/cxr-foundation) embedding model for efficiently building AI for chest X-ray applications
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  * [**Path Foundation**](https://huggingface.co/google/path-foundation) embedding model for efficiently building AI for histopathology applications
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  * [**Derm Foundation**](https://huggingface.co/google/derm-foundation) embedding model for efficiently building AI for skin imaging applications
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  * **[**BERT**](https://huggingface.co/collections/google/bert-release-64ff5e7a4be99045d1896dbc), [**T5**](https://huggingface.co/collections/google/t5-release-65005e7c520f8d7b4d037918), and [**TimesFM**](https://github.com/google-research/timesfm) Model Families**
 
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  * **RecurrentGemma** is a family of open language models built on a novel recurrent architecture developed at Google
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  * **ShieldGemma** is a series of safety content moderation models built upon Gemma 2 that target four harm categories
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  * [**Health AI Developer Foundations**](https://developers.google.com/health-ai-developer-foundations)
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+ * [**CXR Foundation**](https://huggingface.co/google/cxr-foundation) embedding model for efficiently building AI for chest X-ray applications
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  * [**Path Foundation**](https://huggingface.co/google/path-foundation) embedding model for efficiently building AI for histopathology applications
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  * [**Derm Foundation**](https://huggingface.co/google/derm-foundation) embedding model for efficiently building AI for skin imaging applications
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  * **[**BERT**](https://huggingface.co/collections/google/bert-release-64ff5e7a4be99045d1896dbc), [**T5**](https://huggingface.co/collections/google/t5-release-65005e7c520f8d7b4d037918), and [**TimesFM**](https://github.com/google-research/timesfm) Model Families**