This Hugging Face repository provides pretrained EfficientNet-B0 weights for image classification, distributed in Safetensors format. Developers can load the model with timm or Transformers for local inference and ImageNet-1K workflows.
In the Other AI space, Efficientnet B0.ra In1k takes a focused approach. It focuses on running image classification with pretrained EfficientNet-B0 weights. 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 API, and it can be self-hosted.
It is developed by PyTorch Image Models, and it first shipped in 2019. The project is developed in the open on GitHub with 37.1k stars and 61 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.
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