narugo1992
commited on
Export model 'efficientnet_el_pruned.in1k', on 2025-01-20 20:52:24 JST
Browse files
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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| [efficientnetv2_rw_m.agc_in1k](https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k) | 52.9M | 12.6G | 320 | True | 2152 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_m | 2022-12-13 |
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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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# Models
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906 models exported from TIMM in total.
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## Beit
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## EfficientNet
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45 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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| [efficientnetv2_rw_m.agc_in1k](https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k) | 52.9M | 12.6G | 320 | True | 2152 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_m | 2022-12-13 |
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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_pruned.in1k](https://huggingface.co/timm/efficientnet_el_pruned.in1k) | 10.5M | 7.9G | 300 | True | 1536 | 1000 | imagenet-1k | EfficientNet | efficientnet_el_pruned | 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_el_pruned.in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3283138e8bfa63c1fa2f081b4894433d21cc0006eed2696a89c780bd96b144c2
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size 169826
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efficientnet_el_pruned.in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fc00eb87d08c325f8319c22797ca2d576c96689aeee455d1eff7f51615414fa
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size 42228849
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efficientnet_el_pruned.in1k/preprocess.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:737129139a2f74d9ea00d02879fd68d3fddc7551f420efc7e1ca70d52ce92d68
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size 734
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models.parquet
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c77f71ba2ec8714fec8f2c785511063012c2ec30329c450497066a91ad9220f
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size 52073
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