Convolutional vision transformer
According to the model card, CvT-13 introduces convolutions to vision transformers, captured as CvtForImageClassification with model type cvt.
Open Source Model Profile · microsoft
cvt-13 is a 20.02M-parameter convolutional vision transformer for image classification from microsoft. According to the model card, it was pre-trained on ImageNet-1k at 224x224 resolution.
cvt-13 is published by microsoft as an image-classification model. The captured configuration identifies CvtForImageClassification with model type cvt, and Safetensors metadata reports 20,023,208 parameters. According to the model card, it is the CvT-13 model pre-trained on ImageNet-1k at 224x224.
According to the model card, CvT-13 introduces convolutions to vision transformers, captured as CvtForImageClassification with model type cvt.
According to the model card, the model was pre-trained on ImageNet-1k at 224x224 resolution, consistent with its dataset:imagenet-1k tag.
Hub metadata identifies transformers library support with pytorch, tf, safetensors, and endpoints compatibility.
According to the model card, the card shows classifying a COCO 2017 image into one of the 1,000 ImageNet classes with AutoFeatureExtractor and CvtForImageClassification.
Source: microsoft/cvt-13
Captured: Unknown. Processed: 2026-09-07T19:34:52.031479+00:00.
Convolutional Vision Transformer (CvT) CvT-13 model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper CvT: Introducing Convolutions to Vision Transformers by Wu et al. and first released in this repository . Disclaimer: The team releasing CvT did not write a model card for this model so this model card has been written by the Hugging Face team. Usage Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes: from transformers import AutoFeatureExtractor, CvtForImageClassification from PIL import Image import requests url = 'http://images.cocodata…
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