facebook
/

convnextv2-atto-1k-224

Image Classification

Inference Endpoints

Model card Files Files and versions Community

adirik commited on Feb 20, 2023

Commit

f975353

•

1 Parent(s): 8580cb6

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -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