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 'lambda_resnet26t.c1_in1k', on 2025-01-20 05:32:45 UTC
Browse files- README.md +4 -3
- lambda_resnet26t.c1_in1k/meta.json +3 -0
- lambda_resnet26t.c1_in1k/model.onnx +3 -0
- lambda_resnet26t.c1_in1k/preprocess.json +3 -0
- models.parquet +2 -2
README.md
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- timm/inception_resnet_v2.tf_in1k
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- timm/inception_v4.tf_in1k
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- timm/mambaout_base_short_rw.sw_e500_in1k
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- timm/mambaout_small_rw.sw_e450_in1k
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- timm/resnet101_clip_gap.openai
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- timm/resnetv2_18d.ra4_e3600_r224_in1k
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- timm/selecsls42b.in1k
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- timm/skresnext50_32x4d.ra_in1k
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- timm/test_convnext2.r160_in1k
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- timm/test_efficientnet_ln.r160_in1k
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- timm/test_resnet.r160_in1k
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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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|:-----------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:--------------------|:-------------|
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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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| [gcresnext50ts.ch_in1k](https://huggingface.co/timm/gcresnext50ts.ch_in1k) | 15.6M | 3.7G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | gcresnext50ts | 2023-03-22 |
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| [botnet26t_256.c1_in1k](https://huggingface.co/timm/botnet26t_256.c1_in1k) | 12.4M | 3.2G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | botnet26t_256 | 2023-04-26 |
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| [resnext26ts.ra2_in1k](https://huggingface.co/timm/resnext26ts.ra2_in1k) | 10.3M | 2.4G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | resnext26ts | 2023-03-22 |
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| [mobilevit_s.cvnets_in1k](https://huggingface.co/timm/mobilevit_s.cvnets_in1k) | 5.6M | 1.8G | 256 | True | 640 | 1000 | imagenet-1k | ByobNet | mobilevit_s | 2023-04-24 |
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| [mobilevit_xs.cvnets_in1k](https://huggingface.co/timm/mobilevit_xs.cvnets_in1k) | 2.3M | 912.0M | 256 | True | 384 | 1000 | imagenet-1k | ByobNet | mobilevit_xs | 2023-04-24 |
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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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- timm/mambaout_kobe.in1k
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- timm/mambaout_small_rw.sw_e450_in1k
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- timm/resnet101_clip_gap.openai
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- timm/resnetv2_18d.ra4_e3600_r224_in1k
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- timm/selecsls42b.in1k
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- timm/test_convnext2.r160_in1k
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- timm/test_efficientnet_ln.r160_in1k
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- timm/test_resnet.r160_in1k
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# Models
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271 models exported from TIMM in total.
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## Beit
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## ByobNet
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19 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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| [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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| [gcresnext50ts.ch_in1k](https://huggingface.co/timm/gcresnext50ts.ch_in1k) | 15.6M | 3.7G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | gcresnext50ts | 2023-03-22 |
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| [botnet26t_256.c1_in1k](https://huggingface.co/timm/botnet26t_256.c1_in1k) | 12.4M | 3.2G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | botnet26t_256 | 2023-04-26 |
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| [lambda_resnet26t.c1_in1k](https://huggingface.co/timm/lambda_resnet26t.c1_in1k) | 10.9M | 3.0G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | lambda_resnet26t | 2023-04-26 |
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| [resnext26ts.ra2_in1k](https://huggingface.co/timm/resnext26ts.ra2_in1k) | 10.3M | 2.4G | 256 | True | 2048 | 1000 | imagenet-1k | ByobNet | resnext26ts | 2023-03-22 |
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| [mobilevit_s.cvnets_in1k](https://huggingface.co/timm/mobilevit_s.cvnets_in1k) | 5.6M | 1.8G | 256 | True | 640 | 1000 | imagenet-1k | ByobNet | mobilevit_s | 2023-04-24 |
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| [mobilevit_xs.cvnets_in1k](https://huggingface.co/timm/mobilevit_xs.cvnets_in1k) | 2.3M | 912.0M | 256 | True | 384 | 1000 | imagenet-1k | ByobNet | mobilevit_xs | 2023-04-24 |
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lambda_resnet26t.c1_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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size 169809
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lambda_resnet26t.c1_in1k/model.onnx
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size 43850073
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lambda_resnet26t.c1_in1k/preprocess.json
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size 734
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models.parquet
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