This is a ConvNeXt Femto model trained on ImageNet-1K, made available through the timm (PyTorch Image Models) library. It supports both timm and Hugging Face Transformers interfaces for image classification and feature extraction. The model is optimized for speed and efficiency while maintaining competitive accuracy.
Convnext Femto.d1 In1k sits in PulseGate's Other AI category. It focuses on providing efficient, small-scale convolutional neural networks for image classification tasks. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the web and API.
It is developed by timm, and it first shipped in 2019. The project is developed in the open on GitHub with 37k stars and 49 commits in the last 90 days.
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