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 'hgnetv2_b6.ssld_stage1_in22k_in1k', on 2025-01-20 05:56:32 UTC
Browse files
README.md
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- timm/hgnetv2_b4.ssld_stage2_ft_in1k
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- timm/hgnetv2_b5.ssld_stage1_in22k_in1k
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- timm/hiera_base_plus_224.mae_in1k_ft_in1k
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- timm/hiera_tiny_224.mae_in1k_ft_in1k
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- timm/inception_next_small.sail_in1k
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- timm/inception_next_tiny.sail_in1k
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- timm/inception_resnet_v2.tf_in1k
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- timm/inception_v3.tf_in1k
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- timm/inception_v4.tf_in1k
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- timm/lambda_resnet26t.c1_in1k
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- timm/mambaout_base_short_rw.sw_e500_in1k
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# Models
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## Beit
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## HighPerfGpuNet
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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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| [hgnet_small.ssld_in1k](https://huggingface.co/timm/hgnet_small.ssld_in1k) | 24.4M | 8.5G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnet_small | 2024-02-12 |
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| [hgnetv2_b5.ssld_stage1_in22k_in1k](https://huggingface.co/timm/hgnetv2_b5.ssld_stage1_in22k_in1k) | 39.6M | 6.6G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b5 | 2024-02-12 |
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| [hgnet_tiny.ssld_in1k](https://huggingface.co/timm/hgnet_tiny.ssld_in1k) | 14.7M | 4.6G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnet_tiny | 2024-02-12 |
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- timm/hgnetv2_b3.ssld_stage1_in22k_in1k
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- timm/hgnetv2_b4.ssld_stage2_ft_in1k
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- timm/hgnetv2_b5.ssld_stage1_in22k_in1k
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- timm/hgnetv2_b6.ssld_stage1_in22k_in1k
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- timm/hiera_base_plus_224.mae_in1k_ft_in1k
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- timm/hiera_tiny_224.mae_in1k_ft_in1k
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- timm/inception_next_small.sail_in1k
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- timm/inception_next_tiny.sail_in1k
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- timm/inception_resnet_v2.tf_in1k
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- timm/inception_v4.tf_in1k
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- timm/lambda_resnet26t.c1_in1k
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- timm/mambaout_base_short_rw.sw_e500_in1k
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# Models
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315 models exported from TIMM in total.
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## Beit
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## HighPerfGpuNet
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8 models with model class `HighPerfGpuNet`.
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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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| [hgnetv2_b6.ssld_stage1_in22k_in1k](https://huggingface.co/timm/hgnetv2_b6.ssld_stage1_in22k_in1k) | 75.3M | 16.9G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b6 | 2024-02-12 |
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| [hgnet_small.ssld_in1k](https://huggingface.co/timm/hgnet_small.ssld_in1k) | 24.4M | 8.5G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnet_small | 2024-02-12 |
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| [hgnetv2_b5.ssld_stage1_in22k_in1k](https://huggingface.co/timm/hgnetv2_b5.ssld_stage1_in22k_in1k) | 39.6M | 6.6G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b5 | 2024-02-12 |
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| [hgnet_tiny.ssld_in1k](https://huggingface.co/timm/hgnet_tiny.ssld_in1k) | 14.7M | 4.6G | 224 | True | 2048 | 1000 | imagenet-1k | HighPerfGpuNet | hgnet_tiny | 2024-02-12 |
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hgnetv2_b6.ssld_stage1_in22k_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:f92585ef1d7a4af3bcd5a2be39a9dd6a41a5e50b6a409a3998ce4e170de40c1d
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size 169829
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hgnetv2_b6.ssld_stage1_in22k_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 300845730
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hgnetv2_b6.ssld_stage1_in22k_in1k/preprocess.json
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size 734
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models.parquet
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size
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size 27300
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