narugo1992
		
	commited on
		
		
					Export model 'efficientnetv2_rw_t.ra2_in1k', on 2025-01-20 04:57:13 UTC
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        README.md
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            # Models
         
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            ## Beit
         
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            ## EfficientNet
         
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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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            | [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   |
         
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            | [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k)                                       | 10.5M    | 7.9G    |          300 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | efficientnet_el        | 2022-12-12   |
         
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            | [efficientnet_em.ra2_in1k](https://huggingface.co/timm/efficientnet_em.ra2_in1k)                                     | 6.8M     | 3.0G    |          240 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_em        | 2022-12-12   |
         
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            | [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   |
         
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            | [efficientnet_es_pruned.in1k](https://huggingface.co/timm/efficientnet_es_pruned.in1k)                               | 5.4M     | 1.8G    |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_es_pruned | 2022-12-12   |
         
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            | [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   |
         
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            # Models
         
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            200 models exported from TIMM in total.
         
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            ## Beit
         
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            ## EfficientNet
         
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            12 models with model class `EfficientNet`.
         
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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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            | [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   |
         
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            | [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k)                                       | 10.5M    | 7.9G    |          300 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | efficientnet_el        | 2022-12-12   |
         
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            | [efficientnet_em.ra2_in1k](https://huggingface.co/timm/efficientnet_em.ra2_in1k)                                     | 6.8M     | 3.0G    |          240 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_em        | 2022-12-12   |
         
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            | [efficientnetv2_rw_t.ra2_in1k](https://huggingface.co/timm/efficientnetv2_rw_t.ra2_in1k)                             | 13.5M    | 1.9G    |          224 | True           |       1024 |      1000 | imagenet-1k  | EfficientNet | efficientnetv2_rw_t    | 2022-12-12   |
         
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            | [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   |
         
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            | [efficientnet_es_pruned.in1k](https://huggingface.co/timm/efficientnet_es_pruned.in1k)                               | 5.4M     | 1.8G    |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_es_pruned | 2022-12-12   |
         
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            | [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   |
         
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        efficientnetv2_rw_t.ra2_in1k/meta.json
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