Export model 'resmlp_12_224.fb_distilled_in1k', on 2025-01-20 04:50:11 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-182 models exported from TIMM in total.
+183 models exported from TIMM in total.
 
 ## Beit
 
@@ -377,11 +377,12 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MlpMixer
 
-1 model with model class `MlpMixer`.
+2 models with model class `MlpMixer`.
 
-| Name                                                                       | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model    | Architecture   | Created At   |
-|:---------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:---------|:---------------|:-------------|
-| [resmlp_24_224.fb_in1k](https://huggingface.co/timm/resmlp_24_224.fb_in1k) | 30.0M    | 6.0G    |          224 | True           |        384 |      1000 | imagenet-1k | MlpMixer | resmlp_24_224  | 2023-03-27   |
+| Name                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model    | Architecture   | Created At   |
+|:-----------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:---------|:---------------|:-------------|
+| [resmlp_24_224.fb_in1k](https://huggingface.co/timm/resmlp_24_224.fb_in1k)                     | 30.0M    | 6.0G    |          224 | True           |        384 |      1000 | imagenet-1k | MlpMixer | resmlp_24_224  | 2023-03-27   |
+| [resmlp_12_224.fb_distilled_in1k](https://huggingface.co/timm/resmlp_12_224.fb_distilled_in1k) | 15.3M    | 3.0G    |          224 | True           |        384 |      1000 | imagenet-1k | MlpMixer | resmlp_12_224  | 2023-03-27   |
 
 ## MobileNetV3
 

models.parquet

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