narugo1992 commited on
Export model 'efficientnet_b5.sw_in12k_ft_in1k', on 2025-01-20 19:24:19 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](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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# Models
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775 models exported from TIMM in total.
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## Beit
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## EfficientNet
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41 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.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_b5.sw_in12k_ft_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:9843bea58160e60fdaf9fa9a973c879d3c61275667acd6d7cc3ea087cbb06070
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size 169829
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efficientnet_b5.sw_in12k_ft_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:663ced4ae991914f9c948351cdd4224c20eabfb12c666ad4c61d61aa3ee306c6
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size 121441220
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efficientnet_b5.sw_in12k_ft_in1k/preprocess.json
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size 787
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models.parquet
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size 47012
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