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 'flexivit_base.patch30_in21k', on 2025-01-21 12:51:55 JST
Browse files
README.md
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# Models
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## Beit
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## VisionTransformer
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| [vit_medium_patch16_gap_384.sw_in12k_ft_in1k](https://huggingface.co/timm/vit_medium_patch16_gap_384.sw_in12k_ft_in1k) | 38.7M | 22.0G | 384 | True | 512 | 1000 | imagenet-1k | VisionTransformer | vit_medium_patch16_gap_384 | 2022-12-02 |
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| [vit_base_patch16_siglip_gap_256.webli_i18n](https://huggingface.co/timm/vit_base_patch16_siglip_gap_256.webli_i18n) | 85.6M | 21.9G | 256 | False | 768 | 768 | | VisionTransformer | vit_base_patch16_siglip_gap_256 | 2024-12-24 |
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| [vit_base_patch16_siglip_gap_256.webli](https://huggingface.co/timm/vit_base_patch16_siglip_gap_256.webli) | 85.6M | 21.9G | 256 | False | 768 | 768 | | VisionTransformer | vit_base_patch16_siglip_gap_256 | 2024-12-24 |
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| [flexivit_base.1200ep_in1k](https://huggingface.co/timm/flexivit_base.1200ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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| [flexivit_base.600ep_in1k](https://huggingface.co/timm/flexivit_base.600ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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| [flexivit_base.300ep_in1k](https://huggingface.co/timm/flexivit_base.300ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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# Models
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1011 models exported from TIMM in total.
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## Beit
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## VisionTransformer
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122 models with model class `VisionTransformer`.
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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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| [vit_medium_patch16_gap_384.sw_in12k_ft_in1k](https://huggingface.co/timm/vit_medium_patch16_gap_384.sw_in12k_ft_in1k) | 38.7M | 22.0G | 384 | True | 512 | 1000 | imagenet-1k | VisionTransformer | vit_medium_patch16_gap_384 | 2022-12-02 |
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| [vit_base_patch16_siglip_gap_256.webli_i18n](https://huggingface.co/timm/vit_base_patch16_siglip_gap_256.webli_i18n) | 85.6M | 21.9G | 256 | False | 768 | 768 | | VisionTransformer | vit_base_patch16_siglip_gap_256 | 2024-12-24 |
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| [vit_base_patch16_siglip_gap_256.webli](https://huggingface.co/timm/vit_base_patch16_siglip_gap_256.webli) | 85.6M | 21.9G | 256 | False | 768 | 768 | | VisionTransformer | vit_base_patch16_siglip_gap_256 | 2024-12-24 |
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| [flexivit_base.patch30_in21k](https://huggingface.co/timm/flexivit_base.patch30_in21k) | 102.4M | 19.4G | 240 | True | 768 | 21843 | imagenet-21k-goog | VisionTransformer | flexivit_base | 2022-12-22 |
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| [flexivit_base.1200ep_in1k](https://huggingface.co/timm/flexivit_base.1200ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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| [flexivit_base.600ep_in1k](https://huggingface.co/timm/flexivit_base.600ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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| [flexivit_base.300ep_in1k](https://huggingface.co/timm/flexivit_base.300ep_in1k) | 86.4M | 19.3G | 240 | True | 768 | 1000 | imagenet-1k | VisionTransformer | flexivit_base | 2022-12-22 |
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flexivit_base.patch30_in21k/meta.json
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flexivit_base.patch30_in21k/model.onnx
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flexivit_base.patch30_in21k/preprocess.json
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models.parquet
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