Export model 'mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k', on 2025-01-19 18:20:34 UTC

README.md

@@ -19,6 +19,7 @@ base_model:
 - timm/hgnetv2_b3.ssld_stage1_in22k_in1k
 - timm/hgnetv2_b4.ssld_stage2_ft_in1k
 - timm/inception_resnet_v2.tf_in1k
+- timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k
 - timm/mobilenetv2_100.ra_in1k
 - timm/mobilevitv2_050.cvnets_in1k
 - timm/nextvit_base.bd_in1k
@@ -52,7 +53,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-38 models exported from TIMM in total.
+39 models exported from TIMM in total.
 
 ## ByobNet
 
@@ -83,12 +84,13 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-2 models with model class `EfficientNet`.
+3 models with model class `EfficientNet`.
 
-| Name                                                                             | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture    | Created At   |
-|:---------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:----------------|:-------------|
-| [efficientnet_b5.sw_in12k](https://huggingface.co/timm/efficientnet_b5.sw_in12k) | 52.4M    | 8.1G    |          416 | True           |       2048 |     11821 | imagenet-12k | EfficientNet | efficientnet_b5 | 2022-12-12   |
-| [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   |
+| Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
+|:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
+| [efficientnet_b5.sw_in12k](https://huggingface.co/timm/efficientnet_b5.sw_in12k)                                     | 52.4M    | 8.1G    |          416 | True           |       2048 |     11821 | imagenet-12k | EfficientNet | efficientnet_b5        | 2022-12-12   |
+| [mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k) | 8.4M     | 1.8G    |          224 | True           |       1344 |      1000 | imagenet-1k  | EfficientNet | mobilenet_edgetpu_v2_m | 2024-07-29   |
+| [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
 

mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k/meta.json

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mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k/model.onnx

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mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k/preprocess.json

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models.parquet

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