Export model 'mobilenetv1_100h.ra4_e3600_r224_in1k', on 2025-01-20 07:05:55 UTC

README.md

@@ -5,7 +5,6 @@ base_model:
 - timm/convnext_nano.r384_in12k_ft_in1k
 - timm/convnext_zepto_rms.ra4_e3600_r224_in1k
 - timm/cs3darknet_focus_s.ra4_e3600_r256_in1k
-- timm/efficientvit_b2.r256_in1k
 - timm/efficientvit_b3.r288_in1k
 - timm/efficientvit_l1.r224_in1k
 - timm/efficientvit_l2.r224_in1k
@@ -40,6 +39,7 @@ base_model:
 - timm/mambaout_small.in1k
 - timm/mambaout_small_rw.sw_e450_in1k
 - timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k
+- timm/mobilenetv1_100h.ra4_e3600_r224_in1k
 - timm/mobilenetv4_conv_aa_large.e230_r384_in12k
 - timm/mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k
 - timm/mobilenetv4_conv_large.e600_r384_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-448 models exported from TIMM in total.
+449 models exported from TIMM in total.
 
 ## Beit
 
@@ -276,7 +276,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-27 models with model class `EfficientNet`.
+28 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -292,6 +292,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [mixnet_xl.ra_in1k](https://huggingface.co/timm/mixnet_xl.ra_in1k)                                                   | 11.8M    | 904.1M  |          224 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | mixnet_xl              | 2022-12-12   |
 | [efficientnet_b2.ra_in1k](https://huggingface.co/timm/efficientnet_b2.ra_in1k)                                       | 9.0M     | 859.9M  |          256 | True           |       1408 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b2        | 2022-12-12   |
 | [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   |
 | [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_100h.ra4_e3600_r224_in1k/meta.json

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