This open model provides pretrained MobileNetV3 image classification weights trained on ImageNet-1k. Developers can load it locally through timm or Transformers for computer vision inference and application development.
In the Other AI space, Tf Mobilenetv3 Large Minimal 100.in1k takes a focused approach. It focuses on running pretrained image classification without training a computer vision model from scratch. It is built as an open-source project for machine learning developers. The project is open source (Apache-2.0). It runs on the web, and it can be self-hosted.
It is developed by Hugging Face, and it first shipped in 2017. Development happens publicly on GitHub with 5.3k stars. Key capabilities include Image Classification, Pretrained Weights, and ImageNet-1k Training.
Summary written by a language model from the project’s public pages.
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