ReXNet 150 is an open-source pretrained image classification model distributed through Hugging Face. Developers can load it with timm or Transformers for local inference and ImageNet-1K classification tasks.
In the Other AI space, Rexnet 150.nav In1k takes a focused approach. It focuses on running image classification inference with a pretrained ReXNet model. Rexnet 150.nav In1k is an open-source project aimed at machine learning developers and researchers. The project is open source (MIT). It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by Hugging Face, and it first shipped in 2020. Development happens publicly on GitHub with 449 stars. Among its 6 catalogued features are Image Classification, ImageNet-1K Weights, and PyTorch Support.
Summary written by a language model from the project’s public pages.
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