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Open Source Model Profile · facebook

convnextv2-tiny-1k-224

convnextv2-tiny-1k-224 is a 28.64M-parameter ConvNeXt V2 image-classification model from facebook. According to the model card, it is fine-tuned on ImageNet-1K 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-1k-224 is published by facebook as a ConvNeXt V2 image-classification model. The captured configuration identifies ConvNextV2ForImageClassification and Safetensors metadata reports 28,635,496 parameters. According to the model card, it was pretrained with the FCMAE framework and fine-tuned on ImageNet-1K at 224x224 resolution.

Recorded capabilities

ImageNet-1K tuning at 224x224

According to the model card, the tiny-sized model was fine-tuned on the ImageNet-1K dataset at resolution 224x224.

FCMAE with GRN layer

According to the model card, ConvNeXt V2 introduces a fully convolutional masked autoencoder framework and a Global Response Normalization layer.

28.64M ConvNeXt V2 with Transformers

The captured configuration reports ConvNextV2ForImageClassification with model type convnextv2 and 28,635,496 parameters, with Transformers support.

Documented classification use

According to the model card, the raw model can be used for image classification with a documented Transformers image-processor workflow.

Use cases in the source record

  • Image classification of inputs into one of the 1,000 ImageNet classes using the documented raw-model workflow.
  • Transformers vision experiments with AutoImageProcessor and ConvNextV2ForImageClassification, including the snapshot-listed hf-inference route subject to refresh.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • According to the model card disclaimer, the releasing team did not write the card and the Hugging Face team wrote it instead.
  • Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: facebook/convnextv2-tiny-1k-224

Captured: Unknown. Processed: 2026-09-07T19:34:44.295597+00:00.

ConvNeXt V2 (tiny-sized model) ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-1K 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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