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 'convnextv2_large.fcmae_ft_in22k_in1k', on 2025-01-21 13:02:31 JST
Browse files
README.md
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# Models
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## Beit
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## ConvNeXt
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| [convnext_base.clip_laiona_augreg_ft_in1k_384](https://huggingface.co/timm/convnext_base.clip_laiona_augreg_ft_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnext_base | 2023-02-04 |
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| [convnextv2_base.fcmae_ft_in22k_in1k_384](https://huggingface.co/timm/convnextv2_base.fcmae_ft_in22k_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnextv2_base | 2023-01-05 |
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| [convnext_base.fb_in22k_ft_in1k_384](https://huggingface.co/timm/convnext_base.fb_in22k_ft_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnext_base | 2022-12-13 |
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| [convnext_small.in12k_ft_in1k_384](https://huggingface.co/timm/convnext_small.in12k_ft_in1k_384) | 50.2M | 25.5G | 384 | True | 768 | 1000 | imagenet-1k | ConvNeXt | convnext_small | 2023-01-19 |
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| [convnext_small.fb_in22k_ft_in1k_384](https://huggingface.co/timm/convnext_small.fb_in22k_ft_in1k_384) | 50.2M | 25.5G | 384 | True | 768 | 1000 | imagenet-1k | ConvNeXt | convnext_small | 2022-12-13 |
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| [convnext_base.clip_laion2b_augreg_ft_in12k](https://huggingface.co/timm/convnext_base.clip_laion2b_augreg_ft_in12k) | 99.6M | 20.1G | 256 | True | 1024 | 11821 | imagenet-12k | ConvNeXt | convnext_base | 2023-04-01 |
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# Models
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1015 models exported from TIMM in total.
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## Beit
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## ConvNeXt
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60 models with model class `ConvNeXt`.
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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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| [convnext_base.clip_laiona_augreg_ft_in1k_384](https://huggingface.co/timm/convnext_base.clip_laiona_augreg_ft_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnext_base | 2023-02-04 |
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| [convnextv2_base.fcmae_ft_in22k_in1k_384](https://huggingface.co/timm/convnextv2_base.fcmae_ft_in22k_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnextv2_base | 2023-01-05 |
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| [convnext_base.fb_in22k_ft_in1k_384](https://huggingface.co/timm/convnext_base.fb_in22k_ft_in1k_384) | 88.5M | 45.1G | 384 | True | 1024 | 1000 | imagenet-1k | ConvNeXt | convnext_base | 2022-12-13 |
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| [convnextv2_large.fcmae_ft_in22k_in1k](https://huggingface.co/timm/convnextv2_large.fcmae_ft_in22k_in1k) | 197.7M | 34.4G | 224 | True | 1536 | 1000 | imagenet-1k | ConvNeXt | convnextv2_large | 2023-01-05 |
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| [convnext_small.in12k_ft_in1k_384](https://huggingface.co/timm/convnext_small.in12k_ft_in1k_384) | 50.2M | 25.5G | 384 | True | 768 | 1000 | imagenet-1k | ConvNeXt | convnext_small | 2023-01-19 |
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| [convnext_small.fb_in22k_ft_in1k_384](https://huggingface.co/timm/convnext_small.fb_in22k_ft_in1k_384) | 50.2M | 25.5G | 384 | True | 768 | 1000 | imagenet-1k | ConvNeXt | convnext_small | 2022-12-13 |
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| [convnext_base.clip_laion2b_augreg_ft_in12k](https://huggingface.co/timm/convnext_base.clip_laion2b_augreg_ft_in12k) | 99.6M | 20.1G | 256 | True | 1024 | 11821 | imagenet-12k | ConvNeXt | convnext_base | 2023-04-01 |
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convnextv2_large.fcmae_ft_in22k_in1k/meta.json
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size 169836
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convnextv2_large.fcmae_ft_in22k_in1k/model.onnx
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size 792249040
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convnextv2_large.fcmae_ft_in22k_in1k/preprocess.json
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size 734
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models.parquet
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size 56321
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