Export model 'efficientnetv2_rw_s.ra2_in1k', on 2025-01-20 20:18:58 JST
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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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| [efficientnet_b5.sw_in12k_ft_in1k](https://huggingface.co/timm/efficientnet_b5.sw_in12k_ft_in1k) | 30.2M | 9.4G | 448 | True | 2048 | 1000 | imagenet-1k | EfficientNet | efficientnet_b5 | 2022-12-13 |
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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 | 2022-12-13 |
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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 | 2022-12-13 |
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| [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-13 |
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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 | 2022-12-13 |
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| [gc_efficientnetv2_rw_t.agc_in1k](https://huggingface.co/timm/gc_efficientnetv2_rw_t.agc_in1k) | 13.6M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | gc_efficientnetv2_rw_t | 2022-12-13 |
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# Models
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861 models exported from TIMM in total.
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## Beit
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## EfficientNet
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42 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_ft_in1k](https://huggingface.co/timm/efficientnet_b5.sw_in12k_ft_in1k) | 30.2M | 9.4G | 448 | True | 2048 | 1000 | imagenet-1k | EfficientNet | efficientnet_b5 | 2022-12-13 |
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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 | 2022-12-13 |
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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 | 2022-12-13 |
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| [efficientnetv2_rw_s.ra2_in1k](https://huggingface.co/timm/efficientnetv2_rw_s.ra2_in1k) | 23.8M | 4.9G | 288 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_s | 2022-12-13 |
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| [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-13 |
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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 | 2022-12-13 |
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| [gc_efficientnetv2_rw_t.agc_in1k](https://huggingface.co/timm/gc_efficientnetv2_rw_t.agc_in1k) | 13.6M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | gc_efficientnetv2_rw_t | 2022-12-13 |
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efficientnetv2_rw_s.ra2_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:af83479ead86699d717b0c43ac71afe86ece5450f75010ccea9e5860383a452c
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size 169825
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efficientnetv2_rw_s.ra2_in1k/model.onnx
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size 95641499
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efficientnetv2_rw_s.ra2_in1k/preprocess.json
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models.parquet
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size 50343
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