LeViT
Imagenet classifier and general purpose backbone.
LeViT is a vision transformer model that can classify images from the Imagenet dataset.
Technical Details
Model checkpoint:LeViT-128S
Input resolution:224x224
Number of parameters:7.82M
Model size (float):29.9 MB
Model size (w8a16):8.83 MB
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
Licenses
Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers