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 'mixer_l16_224.goog_in21k_ft_in1k', on 2025-01-21 16:19:55 JST
Browse files
README.md
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# Models
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## Beit
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## 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_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_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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# Models
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1098 models exported from TIMM in total.
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## Beit
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## MlpMixer
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17 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_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_l16_224.goog_in21k_ft_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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size 169825
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mixer_l16_224.goog_in21k_ft_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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mixer_l16_224.goog_in21k_ft_in1k/preprocess.json
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size 642
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models.parquet
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size 60906
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