Image Feature Extraction
Transformers
PyTorch
English
vit
medical
medical-embeddings
audio
health-acoustic
Instructions to use google/hear-pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/hear-pytorch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="google/hear-pytorch")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("google/hear-pytorch") model = AutoModel.from_pretrained("google/hear-pytorch") - Notebooks
- Google Colab
- Kaggle
Access HeAR on Hugging Face
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
To access HeAR on Hugging Face, you're required to review and agree to Health AI Developer Foundation's terms of use. To do this, please ensure you're logged in to Hugging Face and click below. Requests are processed immediately.
Log in or Sign Up to review the conditions and access this model content.
Gated model You can list files but not access them
Preview of files found in this repository