Export model 'efficientvit_b2.r256_in1k', on 2025-01-19 18:13:28 UTC

README.md

@@ -8,6 +8,7 @@ base_model:
 - timm/convnextv2_atto.fcmae_ft_in1k
 - timm/ecaresnet50t.a1_in1k
 - timm/efficientvit_b1.r256_in1k
+- timm/efficientvit_b2.r256_in1k
 - timm/ghostnetv2_100.in1k
 - timm/hgnetv2_b4.ssld_stage2_ft_in1k
 - timm/mobilenetv2_100.ra_in1k
@@ -34,9 +35,9 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-## 20 models exported from TIMM in total.
+21 models exported from TIMM in total.
 
-ByobNet
+## ByobNet
 
 2 models with model class `ByobNet`.
 
@@ -45,7 +46,7 @@ ByobNet
 | [repvgg_b1.rvgg_in1k](https://huggingface.co/timm/repvgg_b1.rvgg_in1k)                 | 57.3M    | 13.1G   |          224 | True           |       2048 |      1000 | imagenet-1k | ByobNet | repvgg_b1       | 2023-03-22   |
 | [mobilevitv2_050.cvnets_in1k](https://huggingface.co/timm/mobilevitv2_050.cvnets_in1k) | 1.4M     | 464.6M  |          256 | True           |        256 |      1000 | imagenet-1k | ByobNet | mobilevitv2_050 | 2023-04-24   |
 
-ConvMixer
+## ConvMixer
 
 1 model with model class `ConvMixer`.
 
@@ -53,7 +54,7 @@ ConvMixer
 |:---------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:----------|:--------------------------|:-------------|
 | [convmixer_1024_20_ks9_p14.in1k](https://huggingface.co/timm/convmixer_1024_20_ks9_p14.in1k) | 24.4M    | 6.0G    |          224 | True           |       1024 |      1000 | imagenet-1k | ConvMixer | convmixer_1024_20_ks9_p14 | 2023-04-24   |
 
-ConvNeXt
+## ConvNeXt
 
 3 models with model class `ConvNeXt`.
 
@@ -63,7 +64,7 @@ ConvNeXt
 | [convnext_pico.d1_in1k](https://huggingface.co/timm/convnext_pico.d1_in1k)                       | 9.0M     | 1.4G    |          224 | True           |        512 |      1000 | imagenet-1k | ConvNeXt | convnext_pico   | 2022-12-13   |
 | [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   |
 
-EfficientNet
+## EfficientNet
 
 1 model with model class `EfficientNet`.
 
@@ -71,15 +72,16 @@ EfficientNet
 |:-------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:-------------|:----------------|:-------------|
 | [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   |
 
-EfficientVit
+## EfficientVit
 
-1 model with model class `EfficientVit`.
+2 models with model class `EfficientVit`.
 
 | Name                                                                               | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model        | Architecture    | Created At   |
 |:-----------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:-------------|:----------------|:-------------|
+| [efficientvit_b2.r256_in1k](https://huggingface.co/timm/efficientvit_b2.r256_in1k) | 24.3M    | 2.1G    |          256 | True           |       2560 |      1000 | imagenet-1k | EfficientVit | efficientvit_b2 | 2023-08-18   |
 | [efficientvit_b1.r256_in1k](https://huggingface.co/timm/efficientvit_b1.r256_in1k) | 9.1M     | 689.0M  |          256 | True           |       1600 |      1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-18   |
 
-GhostNet
+## GhostNet
 
 1 model with model class `GhostNet`.
 
@@ -87,7 +89,7 @@ GhostNet
 |:-----------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:---------|:---------------|:-------------|
 | [ghostnetv2_100.in1k](https://huggingface.co/timm/ghostnetv2_100.in1k) | 4.9M     | 183.8M  |          224 | True           |       1280 |      1000 | imagenet-1k | GhostNet | ghostnetv2_100 | 2023-08-20   |
 
-HighPerfGpuNet
+## HighPerfGpuNet
 
 1 model with model class `HighPerfGpuNet`.
 
@@ -95,7 +97,7 @@ HighPerfGpuNet
 |:---------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:---------------|:---------------|:-------------|
 | [hgnetv2_b4.ssld_stage2_ft_in1k](https://huggingface.co/timm/hgnetv2_b4.ssld_stage2_ft_in1k) | 19.8M    | 2.8G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b4     | 2024-02-12   |
 
-MetaFormer
+## MetaFormer
 
 1 model with model class `MetaFormer`.
 
@@ -103,7 +105,7 @@ MetaFormer
 |:---------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:-----------|:---------------|:-------------|
 | [convformer_m36.sail_in22k_ft_in1k](https://huggingface.co/timm/convformer_m36.sail_in22k_ft_in1k) | 57.0M    | 12.8G   |          224 | True           |        576 |      1000 | imagenet-1k | MetaFormer | convformer_m36 | 2023-05-05   |
 
-NextViT
+## NextViT
 
 1 model with model class `NextViT`.
 
@@ -111,7 +113,7 @@ NextViT
 |:-------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:---------------|:-------------|
 | [nextvit_base.bd_in1k](https://huggingface.co/timm/nextvit_base.bd_in1k) | 44.8M    | 8.3G    |          224 | True           |       1024 |      1000 | imagenet-1k | NextViT | nextvit_base   | 2024-02-11   |
 
-RegNet
+## RegNet
 
 1 model with model class `RegNet`.
 
@@ -119,7 +121,7 @@ RegNet
 |:-------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:---------------|:-------------|
 | [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   |
 
-ResNet
+## ResNet
 
 2 models with model class `ResNet`.
 
@@ -128,7 +130,7 @@ ResNet
 | [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   |
 | [ecaresnet50t.a1_in1k](https://huggingface.co/timm/ecaresnet50t.a1_in1k) | 25.6M    | 4.3G    |          224 | True           |       2048 |      1000 | imagenet-1k | ResNet  | ecaresnet50t   | 2023-04-05   |
 
-SwinTransformer
+## SwinTransformer
 
 1 model with model class `SwinTransformer`.
 
@@ -136,7 +138,7 @@ SwinTransformer
 |:---------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:----------------|:-----------------------------|:-------------|
 | [swin_base_patch4_window7_224.ms_in1k](https://huggingface.co/timm/swin_base_patch4_window7_224.ms_in1k) | 87.7M    | 15.2G   |          224 | True           |       1024 |      1000 | imagenet-1k | SwinTransformer | swin_base_patch4_window7_224 | 2023-03-18   |
 
-VisionTransformer
+## VisionTransformer
 
 3 models with model class `VisionTransformer`.
 
@@ -146,7 +148,7 @@ VisionTransformer
 | [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   |
 | [vit_little_patch16_reg4_gap_256.sbb_in1k](https://huggingface.co/timm/vit_little_patch16_reg4_gap_256.sbb_in1k)               | 22.4M    | 5.7G    |          256 | True           |        320 |      1000 | imagenet-1k | VisionTransformer | vit_little_patch16_reg4_gap_256 | 2024-05-10   |
 
-Xcit
+## Xcit
 
 1 model with model class `Xcit`.
 

efficientvit_b2.r256_in1k/meta.json

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efficientvit_b2.r256_in1k/model.onnx

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efficientvit_b2.r256_in1k/preprocess.json

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