Export model 'efficientvit_l3.r256_in1k', on 2025-01-21 13:05:49 JST

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-1015 models exported from TIMM in total.
+1016 models exported from TIMM in total.
 
 ## Beit
 
@@ -469,10 +469,11 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientVitLarge
 
-5 models with model class `EfficientVitLarge`.
+6 models with model class `EfficientVitLarge`.
 
 | Name                                                                               | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model             | Architecture    | Created At   |
 |:-----------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:------------------|:----------------|:-------------|
+| [efficientvit_l3.r256_in1k](https://huggingface.co/timm/efficientvit_l3.r256_in1k) | 246.0M   | 36.0G   |          256 | True           |       6400 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22   |
 | [efficientvit_l2.r384_in1k](https://huggingface.co/timm/efficientvit_l2.r384_in1k) | 63.7M    | 20.4G   |          384 | True           |       3200 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-22   |
 | [efficientvit_l2.r288_in1k](https://huggingface.co/timm/efficientvit_l2.r288_in1k) | 63.7M    | 11.5G   |          288 | True           |       3200 |      1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-22   |
 | [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 | 2023-11-22   |

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