Export model 'efficientnet_es_pruned.in1k', on 2025-01-19 18:31:08 UTC
Browse files
README.md
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- timm/cspresnext50.ra_in1k
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- timm/ecaresnet50t.a1_in1k
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- timm/efficientnet_b5.sw_in12k
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- timm/efficientvit_b1.r256_in1k
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- timm/efficientvit_b2.r256_in1k
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- timm/efficientvit_l1.r224_in1k
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# Models
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## ByobNet
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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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| [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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| [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
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## EfficientVit
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- timm/cspresnext50.ra_in1k
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- timm/ecaresnet50t.a1_in1k
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- timm/efficientnet_b5.sw_in12k
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- timm/efficientnet_es_pruned.in1k
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- timm/efficientvit_b1.r256_in1k
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- timm/efficientvit_b2.r256_in1k
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- timm/efficientvit_l1.r224_in1k
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# Models
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69 models exported from TIMM in total.
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## ByobNet
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## EfficientNet
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4 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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| [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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| [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
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## EfficientVit
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efficientnet_es_pruned.in1k/meta.json
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size 169825
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efficientnet_es_pruned.in1k/model.onnx
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size 21687281
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efficientnet_es_pruned.in1k/preprocess.json
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models.parquet
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