Export model 'coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k', on 2025-01-20 04:56:45 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_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_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 | 2023-01-20 |
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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 | 2023-01-20 |
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# Models
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198 models exported from TIMM in total.
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## Beit
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## MaxxVit
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9 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_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_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 | 2023-01-20 |
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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 | 2023-01-20 |
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coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:751670617ba138360e7fdcffd0664ce18fbb068b7610addcfe12d0e7032d4a25
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size 169843
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coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:3aed62af59ce759a69a469ef614711c46a7a28a2d96a0ee93184507a3564ed6f
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size 328978032
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coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k/preprocess.json
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version https://git-lfs.github.com/spec/v1
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size 642
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models.parquet
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version https://git-lfs.github.com/spec/v1
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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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size 21082
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