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facebook/convnextv2-tiny-22k-384

Image Classification·facebook· 50.8K· 5
transformers apache-2.0 Image Classification 28.6M params dataset:imagenet-22karxiv:2301.00808license:apache-2.0region:us

ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 384x384. It was introduced in the paper ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders by Woo et al. and first released in this repository.

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Model details

Task
Image Classification
Provider
facebook
Framework
transformers
Parameters
28.6M
Size
547 MB
License
apache-2.0
Downloads
50.8K
Likes
5
Paper
arXiv:2301.00808
Updated
2025-02-17

About facebook/convnextv2-tiny-22k-384

ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 384x384. It was introduced in the paper ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders by Woo et al. and first released in this repository.

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