narugo1992 commited on
Export model 'spnasnet_100.rmsp_in1k', on 2025-01-20 20:25:59 JST
Browse files- README.md +3 -2
- models.parquet +2 -2
- spnasnet_100.rmsp_in1k/meta.json +3 -0
- spnasnet_100.rmsp_in1k/model.onnx +3 -0
- spnasnet_100.rmsp_in1k/preprocess.json +3 -0
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_b1_pruned.in1k](https://huggingface.co/timm/efficientnet_b1_pruned.in1k) | 5.0M | 373.1M | 240 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_b1_pruned | 2022-12-13 |
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| [mixnet_m.ft_in1k](https://huggingface.co/timm/mixnet_m.ft_in1k) | 5.0M | 339.2M | 224 | True | 1536 | 1000 | imagenet-1k | EfficientNet | mixnet_m | 2022-12-13 |
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| [tinynet_a.in1k](https://huggingface.co/timm/tinynet_a.in1k) | 6.1M | 336.9M | 192 | True | 1280 | 1000 | imagenet-1k | EfficientNet | tinynet_a | 2022-12-13 |
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| [mnasnet_100.rmsp_in1k](https://huggingface.co/timm/mnasnet_100.rmsp_in1k) | 4.3M | 314.5M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mnasnet_100 | 2022-12-13 |
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| [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k) | 3.9M | 311.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | semnasnet_100 | 2022-12-13 |
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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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# Models
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871 models exported from TIMM in total.
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## Beit
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## EfficientNet
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43 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_b1_pruned.in1k](https://huggingface.co/timm/efficientnet_b1_pruned.in1k) | 5.0M | 373.1M | 240 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_b1_pruned | 2022-12-13 |
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| [mixnet_m.ft_in1k](https://huggingface.co/timm/mixnet_m.ft_in1k) | 5.0M | 339.2M | 224 | True | 1536 | 1000 | imagenet-1k | EfficientNet | mixnet_m | 2022-12-13 |
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| [tinynet_a.in1k](https://huggingface.co/timm/tinynet_a.in1k) | 6.1M | 336.9M | 192 | True | 1280 | 1000 | imagenet-1k | EfficientNet | tinynet_a | 2022-12-13 |
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| [spnasnet_100.rmsp_in1k](https://huggingface.co/timm/spnasnet_100.rmsp_in1k) | 4.4M | 333.5M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | spnasnet_100 | 2022-12-13 |
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| [mnasnet_100.rmsp_in1k](https://huggingface.co/timm/mnasnet_100.rmsp_in1k) | 4.3M | 314.5M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mnasnet_100 | 2022-12-13 |
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| [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k) | 3.9M | 311.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | semnasnet_100 | 2022-12-13 |
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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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models.parquet
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spnasnet_100.rmsp_in1k/meta.json
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spnasnet_100.rmsp_in1k/model.onnx
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size 17655414
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spnasnet_100.rmsp_in1k/preprocess.json
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size 735
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