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Open Source Model Profile · facebook

convnextv2-tiny-22k-224

convnextv2-tiny-22k-224 is a tiny ConvNeXt V2 image classifier from facebook. According to the model card, it was pretrained with the FCMAE framework and fine-tuned on ImageNet-22K at 224x224.

Publisher
facebook
Task
image-classification
Model type
convnextv2
License
apache-2.0
Library
transformers
Publication status
Accepted · not indexed

Model overview

convnextv2-tiny-22k-224 is published by facebook as an image-classification model. The captured configuration identifies ConvNextV2ForImageClassification with a convnextv2 model type, and Safetensors metadata reports 28,635,496 parameters. According to the model card, it is the tiny ConvNeXt V2 variant introduced by Woo et al.

Recorded capabilities

FCMAE pretraining

According to the model card, the model was pretrained using the fully convolutional masked autoencoder framework.

GRN layer addition

According to the model card, ConvNeXt V2 adds a Global Response Normalization layer to ConvNeXt to improve pure ConvNet recognition performance.

ImageNet-22K at 224x224

According to the model card, this tiny variant was fine-tuned on the ImageNet-22K dataset at 224x224 resolution.

Paper provenance

According to the model card, the model was introduced in ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders by Woo et al.

Use cases in the source record

  • Raw image classification into 1,000 ImageNet classes using the documented AutoImageProcessor and ConvNextV2ForImageClassification path, according to the model card.
  • Starting point for selecting task-specific fine-tunes through the model hub, as suggested in the model card.

Limitations and unknowns

  • The model card notes it was written by the Hugging Face team because the releasing team did not provide one, so details are secondary documentation rather than publisher-authored claims.
  • No evaluation results were extracted from this record.
  • Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: facebook/convnextv2-tiny-22k-224

Captured: Unknown. Processed: 2026-09-07T19:34:44.302607+00:00.

ConvNeXt V2 (tiny-sized model) ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 224x224. 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 . Disclaimer: The team releasing ConvNeXT V2 did not write a model card for this model so this model card has been written by the Hugging Face team. Model description ConvNeXt V2 is a pure convolutional model (ConvNet) that introduces a fully convolutional masked autoencoder framework (FCMAE) and a new Global Response Normalization…

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