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README.md	README.md
hear_event_detector_demo.ipynb	hear_event_detector_demo.ipynb
quick_start_with_hugging_face.ipynb	quick_start_with_hugging_face.ipynb
quick_start_with_hugging_face_pytorch.ipynb	quick_start_with_hugging_face_pytorch.ipynb
quick_start_with_model_garden.ipynb	quick_start_with_model_garden.ipynb
train_data_efficient_classifier.ipynb	train_data_efficient_classifier.ipynb

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HeAR Notebooks

Quick start with Hugging Face - Example of encoding a health-related audio clip into an embedding vector by running the model locally from Hugging Face. There are different versions of this notebook for the following model formats:
- TensorFlow
- PyTorch
Quick start with Vertex Model Garden - Example of serving the model on Vertex AI and using Vertex AI APIs to encode health-related audio to embeddings in online or batch workflows.
Train a data efficient classifier - Example of using the generated embeddings to train a custom classifier with less data and compute.
Health event detector demo - Example of using HeAR with the health event detector models to first identify and then generate embeddings for health-related sounds like coughing and breathing.

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