Instructions to use deepghs/timms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use deepghs/timms with timm:
import timm model = timm.create_model("hf_hub:deepghs/timms", pretrained=True) - Notebooks
- Google Colab
- Kaggle
narugo1992 commited on
Export model 'resmlp_big_24_224.fb_in22k_ft_in1k', on 2025-01-21 16:23:47 JST
Browse files
README.md
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# Models
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## Beit
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## MlpMixer
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| [resmlp_big_24_224.
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| [resmlp_24_224.
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| [resmlp_12_224.
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## MobileNetV3
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# Models
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1099 models exported from TIMM in total.
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## Beit
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## MlpMixer
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18 models with model class `MlpMixer`.
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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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| [resmlp_big_24_224.fb_in22k_ft_in1k](https://huggingface.co/timm/resmlp_big_24_224.fb_in22k_ft_in1k) | 129.0M | 100.2G | 224 | True | 768 | 1000 | imagenet-1k | MlpMixer | resmlp_big_24_224 | 2023-03-28 |
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| [resmlp_big_24_224.fb_in1k](https://huggingface.co/timm/resmlp_big_24_224.fb_in1k) | 129.0M | 100.2G | 224 | True | 768 | 1000 | imagenet-1k | MlpMixer | resmlp_big_24_224 | 2023-03-28 |
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| [mixer_l16_224.goog_in21k](https://huggingface.co/timm/mixer_l16_224.goog_in21k) | 229.6M | 44.6G | 224 | True | 1024 | 21843 | imagenet-21k-goog | MlpMixer | mixer_l16_224 | 2023-03-28 |
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| [mixer_l16_224.goog_in21k_ft_in1k](https://huggingface.co/timm/mixer_l16_224.goog_in21k_ft_in1k) | 208.2M | 44.6G | 224 | True | 1024 | 1000 | imagenet-1k | MlpMixer | mixer_l16_224 | 2023-03-28 |
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| [mixer_b16_224.goog_in21k](https://huggingface.co/timm/mixer_b16_224.goog_in21k) | 75.9M | 12.6G | 224 | True | 768 | 21843 | imagenet-21k-goog | MlpMixer | mixer_b16_224 | 2023-03-28 |
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| [mixer_b16_224.miil_in21k](https://huggingface.co/timm/mixer_b16_224.miil_in21k) | 67.7M | 12.6G | 224 | True | 768 | 11221 | imagenet-21k-miil | MlpMixer | mixer_b16_224 | 2023-03-28 |
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| [mixer_b16_224.miil_in21k_ft_in1k](https://huggingface.co/timm/mixer_b16_224.miil_in21k_ft_in1k) | 59.9M | 12.6G | 224 | True | 768 | 1000 | imagenet-1k | MlpMixer | mixer_b16_224 | 2023-03-28 |
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| [mixer_b16_224.goog_in21k_ft_in1k](https://huggingface.co/timm/mixer_b16_224.goog_in21k_ft_in1k) | 59.9M | 12.6G | 224 | True | 768 | 1000 | imagenet-1k | MlpMixer | mixer_b16_224 | 2023-03-28 |
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| [resmlp_36_224.fb_in1k](https://huggingface.co/timm/resmlp_36_224.fb_in1k) | 44.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_36_224 | 2023-03-28 |
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| [resmlp_36_224.fb_distilled_in1k](https://huggingface.co/timm/resmlp_36_224.fb_distilled_in1k) | 44.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_36_224 | 2023-03-28 |
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| [resmlp_24_224.fb_in1k](https://huggingface.co/timm/resmlp_24_224.fb_in1k) | 30.0M | 6.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_24_224 | 2023-03-28 |
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| [resmlp_24_224.fb_distilled_in1k](https://huggingface.co/timm/resmlp_24_224.fb_distilled_in1k) | 30.0M | 6.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_24_224 | 2023-03-28 |
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| [resmlp_24_224.fb_dino](https://huggingface.co/timm/resmlp_24_224.fb_dino) | 30.0M | 6.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_24_224 | 2023-03-28 |
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| [gmixer_24_224.ra3_in1k](https://huggingface.co/timm/gmixer_24_224.ra3_in1k) | 24.7M | 5.3G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | gmixer_24_224 | 2023-03-28 |
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| [gmlp_s16_224.ra3_in1k](https://huggingface.co/timm/gmlp_s16_224.ra3_in1k) | 19.4M | 4.4G | 224 | True | 256 | 1000 | imagenet-1k | MlpMixer | gmlp_s16_224 | 2023-03-28 |
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| [resmlp_12_224.fb_in1k](https://huggingface.co/timm/resmlp_12_224.fb_in1k) | 15.3M | 3.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_12_224 | 2023-03-28 |
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| [resmlp_12_224.fb_distilled_in1k](https://huggingface.co/timm/resmlp_12_224.fb_distilled_in1k) | 15.3M | 3.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_12_224 | 2023-03-28 |
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| [resmlp_12_224.fb_dino](https://huggingface.co/timm/resmlp_12_224.fb_dino) | 15.3M | 3.0G | 224 | True | 384 | 1000 | imagenet-1k | MlpMixer | resmlp_12_224 | 2023-03-28 |
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## MobileNetV3
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models.parquet
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resmlp_big_24_224.fb_in22k_ft_in1k/meta.json
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size 169833
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resmlp_big_24_224.fb_in22k_ft_in1k/model.onnx
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resmlp_big_24_224.fb_in22k_ft_in1k/preprocess.json
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