Export model 'convnextv2_atto.fcmae_ft_in1k', on 2025-01-19 18:05:28 UTC

README.md

@@ -2,6 +2,7 @@
 pipeline_tag: image-classification
 base_model:
 - timm/convmixer_1024_20_ks9_p14.in1k
+- timm/convnextv2_atto.fcmae_ft_in1k
 - timm/efficientvit_b1.r256_in1k
 - timm/ghostnetv2_100.in1k
 - timm/mobilenetv2_100.ra_in1k
@@ -24,7 +25,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-10 models exported from TIMM in total.
+11 models exported from TIMM in total.
 
 | Name                                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model             | Architecture                    | Created At   |
 |:-------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:------------------|:--------------------------------|:-------------|
@@ -36,6 +37,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [xcit_small_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_small_24_p16_224.fb_in1k)                                     | 47.6M    | 8.9G    |          224 | True           |        384 |      1000 | imagenet-1k | Xcit              | xcit_small_24_p16_224           | 2023-04-13   |
 | [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k)                                                         | 25.6M    | 5.2G    |          224 | True           |       2048 |      1000 | imagenet-1k | ResNet            | resnetaa50                      | 2023-04-05   |
 | [regnetx_080.tv2_in1k](https://huggingface.co/timm/regnetx_080.tv2_in1k)                                                       | 39.5M    | 8.0G    |          224 | True           |       1920 |      1000 | imagenet-1k | RegNet            | regnetx_080                     | 2023-03-21   |
+| [convnextv2_atto.fcmae_ft_in1k](https://huggingface.co/timm/convnextv2_atto.fcmae_ft_in1k)                                     | 3.7M     | 547.3M  |          224 | True           |        320 |      1000 | imagenet-1k | ConvNeXt          | convnextv2_atto                 | 2023-01-05   |
 | [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k)                                                 | 3.5M     | 300.8M  |          224 | True           |       1280 |      1000 | imagenet-1k | EfficientNet      | mobilenetv2_100                 | 2022-12-13   |
 | [vit_base_patch16_clip_384.laion2b_ft_in12k_in1k](https://huggingface.co/timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k) | 86.4M    | 49.4G   |          384 | True           |        768 |      1000 | imagenet-1k | VisionTransformer | vit_base_patch16_clip_384       | 2022-11-11   |
 

convnextv2_atto.fcmae_ft_in1k/meta.json

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convnextv2_atto.fcmae_ft_in1k/model.onnx

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convnextv2_atto.fcmae_ft_in1k/preprocess.json

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models.parquet

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