Export model 'mobilenetv1_100.ra4_e3600_r224_in1k', on 2025-01-20 07:29:39 UTC

README.md

@@ -12,7 +12,6 @@ base_model:
 - timm/fastvit_s12.apple_in1k
 - timm/fastvit_t12.apple_dist_in1k
 - timm/fastvit_t12.apple_in1k
-- timm/ghostnetv2_100.in1k
 - timm/hgnet_small.ssld_in1k
 - timm/hgnet_tiny.paddle_in1k
 - timm/hgnet_tiny.ssld_in1k
@@ -37,6 +36,7 @@ base_model:
 - timm/mambaout_small.in1k
 - timm/mambaout_small_rw.sw_e450_in1k
 - timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k
+- timm/mobilenetv1_100.ra4_e3600_r224_in1k
 - timm/mobilenetv1_100h.ra4_e3600_r224_in1k
 - timm/mobilenetv3_large_150d.ra4_e3600_r256_in1k
 - timm/mobilenetv4_conv_aa_large.e230_r384_in12k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-499 models exported from TIMM in total.
+500 models exported from TIMM in total.
 
 ## Beit
 
@@ -285,7 +285,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-32 models with model class `EfficientNet`.
+33 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -305,6 +305,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k)                                     | 5.8M     | 668.9M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | mobilenetv2_120d       | 2022-12-13   |
 | [mobilenetv1_100h.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100h.ra4_e3600_r224_in1k)             | 5.3M     | 620.2M  |          224 | True           |       1024 |      1000 | imagenet-1k  | EfficientNet | mobilenetv1_100h       | 2024-07-25   |
 | [mobilenetv2_140.ra_in1k](https://huggingface.co/timm/mobilenetv2_140.ra_in1k)                                       | 6.1M     | 582.3M  |          224 | True           |       1792 |      1000 | imagenet-1k  | EfficientNet | mobilenetv2_140        | 2022-12-13   |
+| [mobilenetv1_100.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100.ra4_e3600_r224_in1k)               | 4.2M     | 568.8M  |          224 | True           |       1024 |      1000 | imagenet-1k  | EfficientNet | mobilenetv1_100        | 2024-07-25   |
 | [efficientnet_lite0.ra_in1k](https://huggingface.co/timm/efficientnet_lite0.ra_in1k)                                 | 4.6M     | 385.3M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_lite0     | 2022-12-12   |
 | [fbnetc_100.rmsp_in1k](https://huggingface.co/timm/fbnetc_100.rmsp_in1k)                                             | 5.5M     | 385.1M  |          224 | True           |       1984 |      1000 | imagenet-1k  | EfficientNet | fbnetc_100             | 2022-12-12   |
 | [tinynet_a.in1k](https://huggingface.co/timm/tinynet_a.in1k)                                                         | 6.1M     | 336.9M  |          192 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | tinynet_a              | 2022-12-13   |

mobilenetv1_100.ra4_e3600_r224_in1k/meta.json

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mobilenetv1_100.ra4_e3600_r224_in1k/preprocess.json

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