Export model 'coatnet_rmlp_2_rw_224.sw_in1k', on 2025-01-20 07:49:08 UTC
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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 | Model | Architecture | Created At |
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|:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
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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 | 2022-12-02 |
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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 | 2022-12-02 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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# Models
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520 models exported from TIMM in total.
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## Beit
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## MaxxVit
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19 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_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 | 2022-12-02 |
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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 | 2022-12-02 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
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coatnet_rmlp_2_rw_224.sw_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b50990f42cfbf7d8a7cd91f9e1a072eceb11b44fe2e01d9ca44e36a8d6a1dbc
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size 169825
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coatnet_rmlp_2_rw_224.sw_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 328978032
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coatnet_rmlp_2_rw_224.sw_in1k/preprocess.json
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size 642
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models.parquet
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size
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size 36736
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