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README.md
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* **PaliGemma** is a versatile and lightweight vision-language model (VLM)
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* **CodeGemma** is a collection of lightweight open code models built on top of Gemma
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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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* **[**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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* **Author ML models with [**MaxText**](https://github.com/google/maxtext), [**JAX**](https://github.com/google/jax), [**Keras**](https://github.com/keras-team/keras), [**Tensorflow**](https://github.com/tensorflow/tensorflow), and [**PyTorch/XLA**](https://github.com/pytorch/xla)**
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* **[**SynthID**](https://deepmind.google/technologies/synthid/)** is a Google DeepMind technology that watermarks and identifies AI-generated content ([π€ Space](https://huggingface.co/spaces/google/synthid-text))
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* **PaliGemma** is a versatile and lightweight vision-language model (VLM)
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* **CodeGemma** is a collection of lightweight open code models built on top of Gemma
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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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* **Author ML models with [**MaxText**](https://github.com/google/maxtext), [**JAX**](https://github.com/google/jax), [**Keras**](https://github.com/keras-team/keras), [**Tensorflow**](https://github.com/tensorflow/tensorflow), and [**PyTorch/XLA**](https://github.com/pytorch/xla)**
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* **[**SynthID**](https://deepmind.google/technologies/synthid/)** is a Google DeepMind technology that watermarks and identifies AI-generated content ([π€ Space](https://huggingface.co/spaces/google/synthid-text))
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