Export model 'efficientvit_l2.r256_in1k', on 2025-01-20 08:23:20 UTC

README.md

@@ -8,6 +8,7 @@ base_model:
 - timm/efficientnet_b1.ra4_e3600_r240_in1k
 - timm/efficientvit_l1.r224_in1k
 - timm/efficientvit_l2.r224_in1k
+- timm/efficientvit_l2.r256_in1k
 - timm/hgnet_small.ssld_in1k
 - timm/hgnet_tiny.paddle_in1k
 - timm/hgnet_tiny.ssld_in1k
@@ -75,7 +76,6 @@ base_model:
 - timm/test_resnet.r160_in1k
 - timm/test_vit2.r160_in1k
 - timm/test_vit.r160_in1k
-- timm/tiny_vit_11m_224.in1k
 - timm/tiny_vit_21m_384.dist_in22k_ft_in1k
 - timm/vit_base_patch14_reg4_dinov2.lvd142m
 - timm/vit_base_patch16_224.orig_in21k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-567 models exported from TIMM in total.
+568 models exported from TIMM in total.
 
 ## Beit
 
@@ -358,10 +358,11 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientVitLarge
 
-2 models with model class `EfficientVitLarge`.
+3 models with model class `EfficientVitLarge`.
 
 | Name                                                                               | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model             | Architecture    | Created At   |
 |:-----------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:------------------|:----------------|:-------------|
+| [efficientvit_l2.r256_in1k](https://huggingface.co/timm/efficientvit_l2.r256_in1k) | 63.7M    | 9.1G    |          256 | True           |       3200 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-21   |
 | [efficientvit_l2.r224_in1k](https://huggingface.co/timm/efficientvit_l2.r224_in1k) | 63.7M    | 7.0G    |          224 | True           |       3200 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-21   |
 | [efficientvit_l1.r224_in1k](https://huggingface.co/timm/efficientvit_l1.r224_in1k) | 52.7M    | 5.3G    |          224 | True           |       3200 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l1 | 2023-11-21   |
 

efficientvit_l2.r256_in1k/meta.json

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efficientvit_l2.r256_in1k/preprocess.json

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