narugo1992 commited on
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Export model 'mobilenetv4_conv_medium.e500_r256_in1k', on 2025-01-20 07:10:27 UTC

Browse files
README.md CHANGED
@@ -5,7 +5,6 @@ base_model:
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  - timm/convnext_nano.r384_in12k_ft_in1k
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  - timm/convnext_zepto_rms.ra4_e3600_r224_in1k
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  - timm/cs3darknet_focus_s.ra4_e3600_r256_in1k
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- - timm/efficientvit_b3.r288_in1k
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  - timm/efficientvit_l1.r224_in1k
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  - timm/efficientvit_l2.r224_in1k
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  - timm/efficientvit_m2.r224_in1k
@@ -44,6 +43,7 @@ base_model:
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  - timm/mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k
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  - timm/mobilenetv4_conv_large.e600_r384_in1k
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  - timm/mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k
 
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  - timm/mobilenetv4_conv_small.e3600_r256_in1k
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  - timm/mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k
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  - timm/mobilenetv4_hybrid_medium.ix_e550_r256_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  # Models
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- 459 models exported from TIMM in total.
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  ## Beit
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@@ -532,7 +532,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## MobileNetV3
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- 18 models with model class `MobileNetV3`.
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  | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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  |:-----------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:------------|:--------------------------|:-------------|
@@ -544,6 +544,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [fbnetv3_g.ra2_in1k](https://huggingface.co/timm/fbnetv3_g.ra2_in1k) | 14.5M | 1.3G | 240 | True | 1984 | 1000 | imagenet-1k | MobileNetV3 | fbnetv3_g | 2022-12-16 |
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  | [mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k](https://huggingface.co/timm/mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k) | 9.7M | 1.2G | 256 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | mobilenetv4_hybrid_medium | 2024-07-25 |
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  | [mobilenetv4_hybrid_medium.ix_e550_r256_in1k](https://huggingface.co/timm/mobilenetv4_hybrid_medium.ix_e550_r256_in1k) | 9.7M | 1.2G | 256 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | mobilenetv4_hybrid_medium | 2024-06-24 |
 
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  | [fbnetv3_b.ra2_in1k](https://huggingface.co/timm/fbnetv3_b.ra2_in1k) | 6.6M | 405.6M | 224 | True | 1984 | 1000 | imagenet-1k | MobileNetV3 | fbnetv3_b | 2022-12-16 |
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  | [hardcorenas_f.miil_green_in1k](https://huggingface.co/timm/hardcorenas_f.miil_green_in1k) | 6.9M | 340.7M | 224 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | hardcorenas_f | 2023-04-21 |
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  | [hardcorenas_e.miil_green_in1k](https://huggingface.co/timm/hardcorenas_e.miil_green_in1k) | 6.8M | 337.5M | 224 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | hardcorenas_e | 2023-04-21 |
 
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  - timm/convnext_nano.r384_in12k_ft_in1k
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  - timm/convnext_zepto_rms.ra4_e3600_r224_in1k
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  - timm/cs3darknet_focus_s.ra4_e3600_r256_in1k
 
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  - timm/efficientvit_l1.r224_in1k
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  - timm/efficientvit_l2.r224_in1k
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  - timm/efficientvit_m2.r224_in1k
 
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  - timm/mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k
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  - timm/mobilenetv4_conv_large.e600_r384_in1k
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  - timm/mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k
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+ - timm/mobilenetv4_conv_medium.e500_r256_in1k
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  - timm/mobilenetv4_conv_small.e3600_r256_in1k
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  - timm/mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k
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  - timm/mobilenetv4_hybrid_medium.ix_e550_r256_in1k
 
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  # Models
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+ 460 models exported from TIMM in total.
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  ## Beit
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532
 
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  ## MobileNetV3
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+ 19 models with model class `MobileNetV3`.
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  | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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  |:-----------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:------------|:--------------------------|:-------------|
 
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  | [fbnetv3_g.ra2_in1k](https://huggingface.co/timm/fbnetv3_g.ra2_in1k) | 14.5M | 1.3G | 240 | True | 1984 | 1000 | imagenet-1k | MobileNetV3 | fbnetv3_g | 2022-12-16 |
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  | [mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k](https://huggingface.co/timm/mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k) | 9.7M | 1.2G | 256 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | mobilenetv4_hybrid_medium | 2024-07-25 |
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  | [mobilenetv4_hybrid_medium.ix_e550_r256_in1k](https://huggingface.co/timm/mobilenetv4_hybrid_medium.ix_e550_r256_in1k) | 9.7M | 1.2G | 256 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | mobilenetv4_hybrid_medium | 2024-06-24 |
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+ | [mobilenetv4_conv_medium.e500_r256_in1k](https://huggingface.co/timm/mobilenetv4_conv_medium.e500_r256_in1k) | 8.4M | 1.1G | 256 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | mobilenetv4_conv_medium | 2024-06-12 |
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  | [fbnetv3_b.ra2_in1k](https://huggingface.co/timm/fbnetv3_b.ra2_in1k) | 6.6M | 405.6M | 224 | True | 1984 | 1000 | imagenet-1k | MobileNetV3 | fbnetv3_b | 2022-12-16 |
549
  | [hardcorenas_f.miil_green_in1k](https://huggingface.co/timm/hardcorenas_f.miil_green_in1k) | 6.9M | 340.7M | 224 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | hardcorenas_f | 2023-04-21 |
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  | [hardcorenas_e.miil_green_in1k](https://huggingface.co/timm/hardcorenas_e.miil_green_in1k) | 6.8M | 337.5M | 224 | True | 1280 | 1000 | imagenet-1k | MobileNetV3 | hardcorenas_e | 2023-04-21 |
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