Convnextv2 Tiny.fcmae Ft In22k In1k is an image classification model hosted on Hugging Face as part of the PyTorch Image Models collection. It belongs to the ConvNeXtV2 family and carries the specific identifier convnextv2_tiny.fcmae_ft_in22k_in1k, indicating pre-training on ImageNet-22k followed by fine-tuning on ImageNet-1k. The model is provided under the cc-by-nc-4.0 license and is associated with the paper arxiv:2301.00808.
It can be loaded and run through the timm library using the call timm.create_model with the pretrained flag set to true. The same model is also accessible via the Hugging Face Transformers library, where users may instantiate it directly with AutoModel.from_pretrained or employ the high-level pipeline for image-classification tasks on input images such as remote URLs. Files are distributed in both PyTorch and Safetensors formats.
The model is listed under the Image Classification task and supports inference through standard library integrations. It forms one entry in a broader repository of models maintained under the timm organization on Hugging Face.
In the Other AI space, Convnextv2 Tiny.fcmae Ft In22k In1k takes a focused approach. It focuses on classifying images using a modern convolutional neural network. Convnextv2 Tiny.fcmae Ft In22k In1k is an open-source project aimed at developers. The project is open source (Open Source). Convnextv2 Tiny.fcmae Ft In22k In1k is available on the web and API.
Behind Convnextv2 Tiny.fcmae Ft In22k In1k is timm, and the product first shipped in 2023. The GitHub repository has been archived. PulseGate's similarity index places it among 10 comparable tools. Among its 3 catalogued features are Image Classification, convNeXtV2, and pretrained on ImageNet.
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