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README.md

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   * [**CXR Foundation**](https://huggingface.co/google/cxr-foundation) embedding model for efficiently building AI for chest X-ray applications
   * [**Path Foundation**](https://huggingface.co/google/path-foundation) embedding model for efficiently building AI for histopathology applications
   * [**Derm Foundation**](https://huggingface.co/google/derm-foundation) embedding model for efficiently building AI for skin imaging applications
-  * **HeAR**([TensorFlow](https://huggingface.co/google/hear), [PyTorch](https://huggingface.co/google/hear-pytorch)) embedding model for efficiently building AI related to audio originating from the respiratory system
+  * **HeAR** ([TensorFlow](https://huggingface.co/google/hear), [PyTorch](https://huggingface.co/google/hear-pytorch)) embedding model for efficiently building AI related to audio originating from the respiratory system
 * **[**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**
 * **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)**
 * **[**SynthID**](https://deepmind.google/technologies/synthid/)** is a Google DeepMind technology that watermarks and identifies AI-generated content ([🤗 Space](https://huggingface.co/spaces/google/synthid-text))