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 'repvgg_a2.rvgg_in1k', on 2025-01-20 05:28:06 UTC
Browse files- README.md +3 -2
- models.parquet +2 -2
- repvgg_a2.rvgg_in1k/meta.json +3 -0
- repvgg_a2.rvgg_in1k/model.onnx +3 -0
- repvgg_a2.rvgg_in1k/preprocess.json +3 -0
README.md
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# Models
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## Beit
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## ByobNet
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| [repvgg_b1g4.rvgg_in1k](https://huggingface.co/timm/repvgg_b1g4.rvgg_in1k) | 39.9M | 8.1G | 224 | True | 2048 | 1000 | imagenet-1k | ByobNet | repvgg_b1g4 | 2023-03-22 |
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| [resnet61q.ra2_in1k](https://huggingface.co/timm/resnet61q.ra2_in1k) | 36.7M | 7.8G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | resnet61q | 2023-03-22 |
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| [regnetz_d32.ra3_in1k](https://huggingface.co/timm/regnetz_d32.ra3_in1k) | 27.5M | 5.9G | 256 | True | 1792 | 1000 | imagenet-1k | ByobNet | regnetz_d32 | 2023-03-22 |
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| [mobilevitv2_175.cvnets_in1k](https://huggingface.co/timm/mobilevitv2_175.cvnets_in1k) | 14.2M | 5.5G | 256 | True | 896 | 1000 | imagenet-1k | ByobNet | mobilevitv2_175 | 2023-04-24 |
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| [resnet50_clip_gap.openai](https://huggingface.co/timm/resnet50_clip_gap.openai) | 23.5M | 5.4G | 224 | False | 2048 | 2048 | | ByobNet | resnet50_clip_gap | 2024-12-26 |
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| [resnet32ts.ra2_in1k](https://huggingface.co/timm/resnet32ts.ra2_in1k) | 17.9M | 4.6G | 256 | True | 1536 | 1000 | imagenet-1k | ByobNet | resnet32ts | 2023-03-22 |
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# Models
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261 models exported from TIMM in total.
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## Beit
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## ByobNet
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18 models with model class `ByobNet`.
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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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| [repvgg_b1g4.rvgg_in1k](https://huggingface.co/timm/repvgg_b1g4.rvgg_in1k) | 39.9M | 8.1G | 224 | True | 2048 | 1000 | imagenet-1k | ByobNet | repvgg_b1g4 | 2023-03-22 |
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| [resnet61q.ra2_in1k](https://huggingface.co/timm/resnet61q.ra2_in1k) | 36.7M | 7.8G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | resnet61q | 2023-03-22 |
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| [regnetz_d32.ra3_in1k](https://huggingface.co/timm/regnetz_d32.ra3_in1k) | 27.5M | 5.9G | 256 | True | 1792 | 1000 | imagenet-1k | ByobNet | regnetz_d32 | 2023-03-22 |
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| [repvgg_a2.rvgg_in1k](https://huggingface.co/timm/repvgg_a2.rvgg_in1k) | 28.2M | 5.7G | 224 | True | 1408 | 1000 | imagenet-1k | ByobNet | repvgg_a2 | 2023-03-22 |
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| [mobilevitv2_175.cvnets_in1k](https://huggingface.co/timm/mobilevitv2_175.cvnets_in1k) | 14.2M | 5.5G | 256 | True | 896 | 1000 | imagenet-1k | ByobNet | mobilevitv2_175 | 2023-04-24 |
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| [resnet50_clip_gap.openai](https://huggingface.co/timm/resnet50_clip_gap.openai) | 23.5M | 5.4G | 224 | False | 2048 | 2048 | | ByobNet | resnet50_clip_gap | 2024-12-26 |
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| [resnet32ts.ra2_in1k](https://huggingface.co/timm/resnet32ts.ra2_in1k) | 17.9M | 4.6G | 256 | True | 1536 | 1000 | imagenet-1k | ByobNet | resnet32ts | 2023-03-22 |
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models.parquet
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repvgg_a2.rvgg_in1k/meta.json
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repvgg_a2.rvgg_in1k/model.onnx
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size 112880074
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repvgg_a2.rvgg_in1k/preprocess.json
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