Export model 'convnextv2_nano.fcmae_ft_in1k', on 2025-01-20 07:50:46 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-524 models exported from TIMM in total.
+525 models exported from TIMM in total.
 
 ## Beit
 
@@ -194,7 +194,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## ConvNeXt
 
-26 models with model class `ConvNeXt`.
+27 models with model class `ConvNeXt`.
 
 | Name                                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model    | Architecture       | Created At   |
 |:-------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:---------|:-------------------|:-------------|
@@ -213,6 +213,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [convnext_tiny.in12k](https://huggingface.co/timm/convnext_tiny.in12k)                                                         | 36.9M    | 4.5G    |          224 | True           |        768 |     11821 | imagenet-12k | ConvNeXt | convnext_tiny      | 2023-01-11   |
 | [convnext_nano.in12k](https://huggingface.co/timm/convnext_nano.in12k)                                                         | 22.5M    | 2.5G    |          224 | True           |        640 |     11821 | imagenet-12k | ConvNeXt | convnext_nano      | 2022-12-13   |
 | [convnextv2_nano.fcmae_ft_in22k_in1k](https://huggingface.co/timm/convnextv2_nano.fcmae_ft_in22k_in1k)                         | 15.6M    | 2.4G    |          224 | True           |        640 |      1000 | imagenet-1k  | ConvNeXt | convnextv2_nano    | 2023-01-05   |
+| [convnextv2_nano.fcmae_ft_in1k](https://huggingface.co/timm/convnextv2_nano.fcmae_ft_in1k)                                     | 15.6M    | 2.4G    |          224 | True           |        640 |      1000 | imagenet-1k  | ConvNeXt | convnextv2_nano    | 2023-01-05   |
 | [convnext_nano.in12k_ft_in1k](https://huggingface.co/timm/convnext_nano.in12k_ft_in1k)                                         | 15.6M    | 2.4G    |          224 | True           |        640 |      1000 | imagenet-1k  | ConvNeXt | convnext_nano      | 2022-12-13   |
 | [convnext_nano.d1h_in1k](https://huggingface.co/timm/convnext_nano.d1h_in1k)                                                   | 15.6M    | 2.4G    |          224 | True           |        640 |      1000 | imagenet-1k  | ConvNeXt | convnext_nano      | 2022-12-13   |
 | [convnext_pico_ols.d1_in1k](https://huggingface.co/timm/convnext_pico_ols.d1_in1k)                                             | 9.1M     | 1.4G    |          224 | True           |        512 |      1000 | imagenet-1k  | ConvNeXt | convnext_pico_ols  | 2022-12-13   |

convnextv2_nano.fcmae_ft_in1k/meta.json

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convnextv2_nano.fcmae_ft_in1k/model.onnx

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convnextv2_nano.fcmae_ft_in1k/preprocess.json

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models.parquet

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