Janeodum/epicast-hear-mobile
By Janeodum · ↓ 0 · ♥ 1 · Updated 2026-02-24
What's in this repo
This page lists the files in Janeodum/epicast-hear-mobile, including classifier.onnx, hear_embedding.onnx.
- 2 ONNX models (.onnx files)
- 4 files, including 2 .onnx, 1 .md
- Last updated 2026-02-24
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
EpiCast HeAR Mobile (ONNX)
ONNX-exported HeAR embedding model + trained sklearn classifier for cough audio classification.
Base Model
google/health-acoustic-representations (Google Health AI Developer Foundations)
Details
- HeAR ViT encoder exported to ONNX (1.2 GB)
- Trained on COUGHVID dataset (25,000+ cough recordings)
- 3-class classification: healthy, symptomatic, COVID-19
- 512-dim embeddings + sklearn Gradient Boosting classifier
- Ready for on-device deployment via ONNX Runtime + CoreML
Model info
Created: 2026-02-20
Updated: 2026-02-24
View on Hugging FaceFiles (4)
Related models
More from Janeodum
No other models by this author.
More models
No task type declared.