narugo1992
commited on
Export model 'maxvit_large_tf_224.in21k', on 2025-01-21 13:33:05 JST
Browse files- README.md +38 -37
- maxvit_large_tf_224.in21k/meta.json +3 -0
- maxvit_large_tf_224.in21k/model.onnx +3 -0
- maxvit_large_tf_224.in21k/preprocess.json +3 -0
- models.parquet +2 -2
README.md
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# Models
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## Beit
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## MaxxVit
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset
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| [maxvit_base_tf_384.in21k_ft_in1k](https://huggingface.co/timm/maxvit_base_tf_384.in21k_ft_in1k) | 119.1M | 68.6G | 384 | True | 768 | 1000 | imagenet-1k
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| [maxvit_small_tf_512.in1k](https://huggingface.co/timm/maxvit_small_tf_512.in1k) | 68.7M | 58.9G | 512 | True | 768 | 1000 | imagenet-1k
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| 675 |
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| [coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k) | 73.8M | 42.8G | 384 | True | 1024 | 1000 | imagenet-1k
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| [coatnet_rmlp_1_rw2_224.
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## MetaFormer
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# Models
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1028 models exported from TIMM in total.
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## Beit
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## MaxxVit
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33 models with model class `MaxxVit`.
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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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| [maxvit_base_tf_384.in21k_ft_in1k](https://huggingface.co/timm/maxvit_base_tf_384.in21k_ft_in1k) | 119.1M | 68.6G | 384 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_base_tf_384 | 2022-12-03 |
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| 674 |
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| [maxvit_small_tf_512.in1k](https://huggingface.co/timm/maxvit_small_tf_512.in1k) | 68.7M | 58.9G | 512 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_small_tf_512 | 2022-12-03 |
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| 675 |
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| [coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k) | 73.8M | 42.8G | 384 | True | 1024 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_2_rw_384 | 2023-01-21 |
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| 676 |
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| [maxvit_large_tf_224.in21k](https://huggingface.co/timm/maxvit_large_tf_224.in21k) | 232.7M | 42.8G | 224 | True | 1024 | 21843 | imagenet-21k-goog | MaxxVit | maxvit_large_tf_224 | 2023-05-11 |
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| 677 |
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| [maxvit_small_tf_384.in1k](https://huggingface.co/timm/maxvit_small_tf_384.in1k) | 68.7M | 33.1G | 384 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_small_tf_384 | 2022-12-03 |
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| 678 |
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| [coatnet_3_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_3_rw_224.sw_in12k) | 181.4M | 32.5G | 224 | True | 1536 | 11821 | imagenet-12k | MaxxVit | coatnet_3_rw_224 | 2023-01-21 |
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| [maxvit_tiny_tf_512.in1k](https://huggingface.co/timm/maxvit_tiny_tf_512.in1k) | 30.8M | 27.9G | 512 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_tf_512 | 2022-12-03 |
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| [maxxvitv2_rmlp_base_rw_224.sw_in12k](https://huggingface.co/timm/maxxvitv2_rmlp_base_rw_224.sw_in12k) | 127.1M | 23.8G | 224 | True | 1024 | 11821 | imagenet-12k | MaxxVit | maxxvitv2_rmlp_base_rw_224 | 2023-01-21 |
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| 681 |
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| [maxvit_tiny_tf_384.in1k](https://huggingface.co/timm/maxvit_tiny_tf_384.in1k) | 30.8M | 15.7G | 384 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_tf_384 | 2022-12-03 |
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| [coatnet_rmlp_2_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in12k) | 84.9M | 14.6G | 224 | True | 1024 | 11821 | imagenet-12k | MaxxVit | coatnet_rmlp_2_rw_224 | 2023-01-21 |
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| [coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k) | 73.8M | 14.6G | 224 | True | 1024 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_2_rw_224 | 2023-01-21 |
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| 684 |
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| [coatnet_rmlp_2_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in1k) | 73.8M | 14.6G | 224 | True | 1024 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_2_rw_224 | 2023-01-21 |
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| [coatnet_2_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_2_rw_224.sw_in12k) | 84.7M | 14.5G | 224 | True | 1024 | 11821 | imagenet-12k | MaxxVit | coatnet_2_rw_224 | 2023-01-21 |
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| [coatnet_2_rw_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_2_rw_224.sw_in12k_ft_in1k) | 73.6M | 14.5G | 224 | True | 1024 | 1000 | imagenet-1k | MaxxVit | coatnet_2_rw_224 | 2023-01-21 |
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| [maxxvit_rmlp_small_rw_256.sw_in1k](https://huggingface.co/timm/maxxvit_rmlp_small_rw_256.sw_in1k) | 65.9M | 14.2G | 256 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxxvit_rmlp_small_rw_256 | 2023-01-21 |
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| [maxvit_small_tf_224.in1k](https://huggingface.co/timm/maxvit_small_tf_224.in1k) | 68.7M | 11.3G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_small_tf_224 | 2022-12-03 |
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| [maxvit_rmlp_small_rw_224.sw_in1k](https://huggingface.co/timm/maxvit_rmlp_small_rw_224.sw_in1k) | 64.8M | 10.4G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_rmlp_small_rw_224 | 2023-01-21 |
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| [coatnet_rmlp_1_rw2_224.sw_in12k](https://huggingface.co/timm/coatnet_rmlp_1_rw2_224.sw_in12k) | 50.0M | 7.7G | 224 | True | 768 | 11821 | imagenet-12k | MaxxVit | coatnet_rmlp_1_rw2_224 | 2023-01-21 |
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| [coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k) | 41.7M | 7.7G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_1_rw2_224 | 2023-01-21 |
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| [coatnet_1_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_1_rw_224.sw_in1k) | 41.5M | 7.6G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_1_rw_224 | 2023-01-21 |
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| [coatnet_rmlp_1_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_rmlp_1_rw_224.sw_in1k) | 41.6M | 7.4G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_1_rw_224 | 2023-01-21 |
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| 694 |
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| [maxvit_rmlp_tiny_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_rmlp_tiny_rw_256.sw_in1k) | 29.1M | 6.4G | 256 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_rmlp_tiny_rw_256 | 2023-01-21 |
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| 695 |
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| [maxxvitv2_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxxvitv2_nano_rw_256.sw_in1k) | 23.7M | 6.1G | 256 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxxvitv2_nano_rw_256 | 2023-01-21 |
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| 696 |
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| [maxvit_tiny_tf_224.in1k](https://huggingface.co/timm/maxvit_tiny_tf_224.in1k) | 30.8M | 5.3G | 224 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_tf_224 | 2022-12-03 |
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| 697 |
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| [maxvit_tiny_rw_224.sw_in1k](https://huggingface.co/timm/maxvit_tiny_rw_224.sw_in1k) | 29.0M | 4.9G | 224 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_rw_224 | 2023-01-21 |
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| [coatnet_bn_0_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_bn_0_rw_224.sw_in1k) | 27.4M | 4.5G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_bn_0_rw_224 | 2023-01-21 |
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| [maxvit_rmlp_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_rmlp_nano_rw_256.sw_in1k) | 15.5M | 4.2G | 256 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_rmlp_nano_rw_256 | 2023-01-21 |
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| 700 |
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| [maxvit_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_nano_rw_256.sw_in1k) | 15.4M | 4.2G | 256 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_nano_rw_256 | 2023-01-21 |
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| 701 |
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| [coatnet_0_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_0_rw_224.sw_in1k) | 27.3M | 4.2G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_0_rw_224 | 2023-01-21 |
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| 702 |
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| [maxxvit_rmlp_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxxvit_rmlp_nano_rw_256.sw_in1k) | 16.8M | 4.2G | 256 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxxvit_rmlp_nano_rw_256 | 2023-01-21 |
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| 703 |
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| [coatnext_nano_rw_224.sw_in1k](https://huggingface.co/timm/coatnext_nano_rw_224.sw_in1k) | 14.6M | 2.3G | 224 | True | 512 | 1000 | imagenet-1k | MaxxVit | coatnext_nano_rw_224 | 2023-01-21 |
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| 704 |
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| [coatnet_nano_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_nano_rw_224.sw_in1k) | 15.1M | 2.3G | 224 | True | 512 | 1000 | imagenet-1k | MaxxVit | coatnet_nano_rw_224 | 2023-01-21 |
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| 705 |
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| [maxvit_rmlp_pico_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_rmlp_pico_rw_256.sw_in1k) | 7.5M | 1.7G | 256 | True | 256 | 1000 | imagenet-1k | MaxxVit | maxvit_rmlp_pico_rw_256 | 2023-01-21 |
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| 706 |
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## MetaFormer
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maxvit_large_tf_224.in21k/meta.json
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maxvit_large_tf_224.in21k/model.onnx
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maxvit_large_tf_224.in21k/preprocess.json
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models.parquet
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size 57674
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