EfficientNet B3 RA2 IN1K is a pretrained image-classification model distributed through Hugging Face. Developers can load it locally with timm or Transformers and apply it to image recognition tasks using ImageNet-1K weights.
Efficientnet B3.ra2 In1k is an Other AI project. It focuses on running image classification with a pretrained EfficientNet model. It is built as an open-source project for machine learning developers and researchers. The project is open source (Apache-2.0). It ships for the web and API, and it can be self-hosted.
PyTorch Image Models builds and maintains Efficientnet B3.ra2 In1k, and it first shipped in 2019. The project is developed in the open on GitHub with 37.1k stars and 46 commits in the last 90 days. Among its 7 catalogued features are image classification, pretrained weights, and pyTorch support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do