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 'swinv2_large_window12to16_192to256.ms_in22k_ft_in1k', on 2025-01-21 16:37:06 JST
Browse files
README.md
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# Models
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## Beit
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## SwinTransformerV2
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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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| [swinv2_large_window12to24_192to384.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_large_window12to24_192to384.ms_in22k_ft_in1k) | 149.6M | 77.0G | 384 | True | 1536 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_large_window12to24_192to384 | 2023-03-18 |
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| [swinv2_base_window12to24_192to384.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_base_window12to24_192to384.ms_in22k_ft_in1k) | 67.0M | 34.6G | 384 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window12to24_192to384 | 2023-03-18 |
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| [swinv2_large_window12_192.ms_in22k](https://huggingface.co/timm/swinv2_large_window12_192.ms_in22k) | 181.6M | 19.1G | 192 | True | 1536 | 21841 | imagenet-22k | SwinTransformerV2 | swinv2_large_window12_192 | 2023-03-18 |
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| [swinv2_base_window16_256.ms_in1k](https://huggingface.co/timm/swinv2_base_window16_256.ms_in1k) | 67.0M | 15.2G | 256 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window16_256 | 2023-03-18 |
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| [swinv2_base_window12to16_192to256.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_base_window12to16_192to256.ms_in22k_ft_in1k) | 67.0M | 15.2G | 256 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window12to16_192to256 | 2023-03-18 |
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# Models
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1103 models exported from TIMM in total.
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## Beit
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## SwinTransformerV2
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11 models with model class `SwinTransformerV2`.
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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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| [swinv2_large_window12to24_192to384.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_large_window12to24_192to384.ms_in22k_ft_in1k) | 149.6M | 77.0G | 384 | True | 1536 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_large_window12to24_192to384 | 2023-03-18 |
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| [swinv2_base_window12to24_192to384.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_base_window12to24_192to384.ms_in22k_ft_in1k) | 67.0M | 34.6G | 384 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window12to24_192to384 | 2023-03-18 |
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| [swinv2_large_window12to16_192to256.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_large_window12to16_192to256.ms_in22k_ft_in1k) | 149.6M | 34.0G | 256 | True | 1536 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_large_window12to16_192to256 | 2023-03-18 |
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| [swinv2_large_window12_192.ms_in22k](https://huggingface.co/timm/swinv2_large_window12_192.ms_in22k) | 181.6M | 19.1G | 192 | True | 1536 | 21841 | imagenet-22k | SwinTransformerV2 | swinv2_large_window12_192 | 2023-03-18 |
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| [swinv2_base_window16_256.ms_in1k](https://huggingface.co/timm/swinv2_base_window16_256.ms_in1k) | 67.0M | 15.2G | 256 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window16_256 | 2023-03-18 |
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| [swinv2_base_window12to16_192to256.ms_in22k_ft_in1k](https://huggingface.co/timm/swinv2_base_window12to16_192to256.ms_in22k_ft_in1k) | 67.0M | 15.2G | 256 | True | 1024 | 1000 | imagenet-1k | SwinTransformerV2 | swinv2_base_window12to16_192to256 | 2023-03-18 |
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models.parquet
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swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/meta.json
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swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/model.onnx
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swinv2_large_window12to16_192to256.ms_in22k_ft_in1k/preprocess.json
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