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 'maxvit_large_tf_512.in1k', on 2025-01-21 16:29:54 JST
Browse files- README.md +3 -2
- maxvit_large_tf_512.in1k/meta.json +3 -0
- maxvit_large_tf_512.in1k/model.onnx +3 -0
- maxvit_large_tf_512.in1k/preprocess.json +3 -0
- models.parquet +2 -2
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_large_tf_512.in21k_ft_in1k](https://huggingface.co/timm/maxvit_large_tf_512.in21k_ft_in1k) | 211.3M | 223.2G | 512 | True | 1024 | 1000 | imagenet-1k | MaxxVit | maxvit_large_tf_512 | 2022-12-03 |
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| [maxvit_large_tf_384.in21k_ft_in1k](https://huggingface.co/timm/maxvit_large_tf_384.in21k_ft_in1k) | 211.3M | 125.6G | 384 | True | 1024 | 1000 | imagenet-1k | MaxxVit | maxvit_large_tf_384 | 2022-12-03 |
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| [maxvit_base_tf_512.in21k_ft_in1k](https://huggingface.co/timm/maxvit_base_tf_512.in21k_ft_in1k) | 119.1M | 121.9G | 512 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_base_tf_512 | 2022-12-03 |
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| [maxvit_base_tf_512.in1k](https://huggingface.co/timm/maxvit_base_tf_512.in1k) | 119.1M | 121.9G | 512 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_base_tf_512 | 2022-12-03 |
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# Models
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1100 models exported from TIMM in total.
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## Beit
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## MaxxVit
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44 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_large_tf_512.in21k_ft_in1k](https://huggingface.co/timm/maxvit_large_tf_512.in21k_ft_in1k) | 211.3M | 223.2G | 512 | True | 1024 | 1000 | imagenet-1k | MaxxVit | maxvit_large_tf_512 | 2022-12-03 |
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| [maxvit_large_tf_512.in1k](https://huggingface.co/timm/maxvit_large_tf_512.in1k) | 211.3M | 223.2G | 512 | True | 1024 | 1000 | imagenet-1k | MaxxVit | maxvit_large_tf_512 | 2022-12-03 |
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| [maxvit_large_tf_384.in21k_ft_in1k](https://huggingface.co/timm/maxvit_large_tf_384.in21k_ft_in1k) | 211.3M | 125.6G | 384 | True | 1024 | 1000 | imagenet-1k | MaxxVit | maxvit_large_tf_384 | 2022-12-03 |
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| [maxvit_base_tf_512.in21k_ft_in1k](https://huggingface.co/timm/maxvit_base_tf_512.in21k_ft_in1k) | 119.1M | 121.9G | 512 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_base_tf_512 | 2022-12-03 |
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| [maxvit_base_tf_512.in1k](https://huggingface.co/timm/maxvit_base_tf_512.in1k) | 119.1M | 121.9G | 512 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_base_tf_512 | 2022-12-03 |
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maxvit_large_tf_512.in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5b8b4c14f1cf9034e1ff7f2697559f1029887a317bbdd50e1309e0ece357bf5
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size 169815
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maxvit_large_tf_512.in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 1028520100
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maxvit_large_tf_512.in1k/preprocess.json
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version https://git-lfs.github.com/spec/v1
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size 695
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models.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b03f8e78b3876cceaa63ac9af9277ba68db7fb4c818e947f0f584d434273ced
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size 60949
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