facebook
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convnextv2-nano-1k-224

Image Classification

Inference Endpoints

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adirik commited on Feb 20, 2023

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@@ -24,11 +24,11 @@ Disclaimer: The team releasing ConvNeXT V2 did not write a model card for this m
 ConvNeXt V2 is a pure convolutional model (ConvNet) that introduces a fully convolutional masked autoencoder framework (FCMAE) and a new Global Response Normalization (GRN) layer to ConvNeXt. ConvNeXt V2 significantly improves the performance of pure ConvNets on various recognition benchmarks.
-![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/convnext_architecture.png)
 ## Intended uses & limitations
-You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnext) to look for
 fine-tuned versions on a task that interests you.
 ### How to use

 ConvNeXt V2 is a pure convolutional model (ConvNet) that introduces a fully convolutional masked autoencoder framework (FCMAE) and a new Global Response Normalization (GRN) layer to ConvNeXt. ConvNeXt V2 significantly improves the performance of pure ConvNets on various recognition benchmarks.
+![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/convnextv2_architecture.png)
 ## Intended uses & limitations
+You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=convnextv2) to look for
 fine-tuned versions on a task that interests you.
 ### How to use