convnext_tiny.fb_in22k is an open-weight ConvNeXt Tiny image-classification model trained on ImageNet-22k. Developers can load it locally through timm or Transformers for image inference.
In the Other AI space, Convnext Tiny.fb In22k takes a focused approach. It focuses on running pretrained image-classification inference without training a vision model from scratch. It is built as an open-source project for machine learning developers. Convnext Tiny.fb In22k is open source under the MIT license. Convnext Tiny.fb In22k is available on the web and the command line, and it can be self-hosted.
Behind Convnext Tiny.fb In22k is Ross Wightman, and it first shipped in 2022. The GitHub repository has been archived. PulseGate's similarity index places it among 9 comparable projects. Key capabilities include image classification, pyTorch support, and transformers support.
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