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Export model 'maxxvit_rmlp_small_rw_256.sw_in1k', on 2025-01-20 06:04:45 UTC

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  1. README.md +17 -16
  2. maxxvit_rmlp_small_rw_256.sw_in1k/meta.json +3 -0
  3. maxxvit_rmlp_small_rw_256.sw_in1k/model.onnx +3 -0
  4. maxxvit_rmlp_small_rw_256.sw_in1k/preprocess.json +3 -0
  5. models.parquet +2 -2
README.md CHANGED
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  # Models
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- 328 models exported from TIMM in total.
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  ## Beit
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@@ -419,21 +419,22 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## MaxxVit
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- 11 models with model class `MaxxVit`.
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-
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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_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 | 2022-12-02 |
427
- | [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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- | [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 | 2022-12-02 |
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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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- | [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 | 2023-01-20 |
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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 | 2023-01-20 |
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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 | 2023-01-20 |
 
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  ## MetaFormer
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  # Models
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+ 329 models exported from TIMM in total.
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  ## Beit
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419
 
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  ## MaxxVit
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+ 12 models with model class `MaxxVit`.
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+
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+ | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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+ |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
426
+ | [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 | 2022-12-02 |
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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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+ | [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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+ | [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 | 2022-12-02 |
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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 |
434
+ | [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 |
435
+ | [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 | 2023-01-20 |
436
+ | [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 | 2023-01-20 |
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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 | 2023-01-20 |
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  ## MetaFormer
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