narugo1992
commited on
Export model 'repvgg_b1.rvgg_in1k', on 2025-01-19 18:09:39 UTC
Browse files- README.md +96 -13
- models.parquet +2 -2
- repvgg_b1.rvgg_in1k/meta.json +3 -0
- repvgg_b1.rvgg_in1k/model.onnx +3 -0
- repvgg_b1.rvgg_in1k/preprocess.json +3 -0
README.md
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- timm/mobilevitv2_050.cvnets_in1k
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- timm/nextvit_base.bd_in1k
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- timm/regnetx_080.tv2_in1k
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- timm/resnetaa50.a1h_in1k
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- timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k
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- timm/vit_base_r50_s16_384.orig_in21k_ft_in1k
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# Models
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| 34 |
|:-------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:------------------|:--------------------------------|:-------------|
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| 35 |
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| [vit_little_patch16_reg4_gap_256.sbb_in1k](https://huggingface.co/timm/vit_little_patch16_reg4_gap_256.sbb_in1k) | 22.4M | 5.7G | 256 | True | 320 | 1000 | imagenet-1k | VisionTransformer | vit_little_patch16_reg4_gap_256 | 2024-05-10 |
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| 36 |
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| [nextvit_base.bd_in1k](https://huggingface.co/timm/nextvit_base.bd_in1k) | 44.8M | 8.3G | 224 | True | 1024 | 1000 | imagenet-1k | NextViT | nextvit_base | 2024-02-11 |
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| 37 |
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| [ghostnetv2_100.in1k](https://huggingface.co/timm/ghostnetv2_100.in1k) | 4.9M | 183.8M | 224 | True | 1280 | 1000 | imagenet-1k | GhostNet | ghostnetv2_100 | 2023-08-20 |
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| [efficientvit_b1.r256_in1k](https://huggingface.co/timm/efficientvit_b1.r256_in1k) | 9.1M | 689.0M | 256 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-18 |
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| [convformer_m36.sail_in22k_ft_in1k](https://huggingface.co/timm/convformer_m36.sail_in22k_ft_in1k) | 57.0M | 12.8G | 224 | True | 576 | 1000 | imagenet-1k | MetaFormer | convformer_m36 | 2023-05-05 |
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| [mobilevitv2_050.cvnets_in1k](https://huggingface.co/timm/mobilevitv2_050.cvnets_in1k) | 1.4M | 464.6M | 256 | True | 256 | 1000 | imagenet-1k | ByobNet | mobilevitv2_050 | 2023-04-24 |
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| [convmixer_1024_20_ks9_p14.in1k](https://huggingface.co/timm/convmixer_1024_20_ks9_p14.in1k) | 24.4M | 6.0G | 224 | True | 1024 | 1000 | imagenet-1k | ConvMixer | convmixer_1024_20_ks9_p14 | 2023-04-24 |
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| 42 |
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| [xcit_small_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_small_24_p16_224.fb_in1k) | 47.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_24_p16_224 | 2023-04-13 |
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| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k) | 25.6M | 5.2G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnetaa50 | 2023-04-05 |
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| [regnetx_080.tv2_in1k](https://huggingface.co/timm/regnetx_080.tv2_in1k) | 39.5M | 8.0G | 224 | True | 1920 | 1000 | imagenet-1k | RegNet | regnetx_080 | 2023-03-21 |
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| [convnextv2_atto.fcmae_ft_in1k](https://huggingface.co/timm/convnextv2_atto.fcmae_ft_in1k) | 3.7M | 547.3M | 224 | True | 320 | 1000 | imagenet-1k | ConvNeXt | convnextv2_atto | 2023-01-05 |
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| [vit_base_r50_s16_384.orig_in21k_ft_in1k](https://huggingface.co/timm/vit_base_r50_s16_384.orig_in21k_ft_in1k) | 86.6M | 49.5G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_r50_s16_384 | 2022-12-23 |
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| [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
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| [vit_base_patch16_clip_384.laion2b_ft_in12k_in1k](https://huggingface.co/timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k) | 86.4M | 49.4G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch16_clip_384 | 2022-11-11 |
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- timm/mobilevitv2_050.cvnets_in1k
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- timm/nextvit_base.bd_in1k
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- timm/regnetx_080.tv2_in1k
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- timm/repvgg_b1.rvgg_in1k
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- timm/resnetaa50.a1h_in1k
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- timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k
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- timm/vit_base_r50_s16_384.orig_in21k_ft_in1k
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# Models
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15 models exported from TIMM in total.
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ByobNet
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2 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_b1.rvgg_in1k](https://huggingface.co/timm/repvgg_b1.rvgg_in1k) | 57.3M | 13.1G | 224 | True | 2048 | 1000 | imagenet-1k | ByobNet | repvgg_b1 | 2023-03-22 |
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| [mobilevitv2_050.cvnets_in1k](https://huggingface.co/timm/mobilevitv2_050.cvnets_in1k) | 1.4M | 464.6M | 256 | True | 256 | 1000 | imagenet-1k | ByobNet | mobilevitv2_050 | 2023-04-24 |
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ConvMixer
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1 model with model class `ConvMixer`.
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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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| [convmixer_1024_20_ks9_p14.in1k](https://huggingface.co/timm/convmixer_1024_20_ks9_p14.in1k) | 24.4M | 6.0G | 224 | True | 1024 | 1000 | imagenet-1k | ConvMixer | convmixer_1024_20_ks9_p14 | 2023-04-24 |
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ConvNeXt
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1 model 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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| [convnextv2_atto.fcmae_ft_in1k](https://huggingface.co/timm/convnextv2_atto.fcmae_ft_in1k) | 3.7M | 547.3M | 224 | True | 320 | 1000 | imagenet-1k | ConvNeXt | convnextv2_atto | 2023-01-05 |
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EfficientNet
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1 model with model class `EfficientNet`.
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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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| [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
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EfficientVit
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1 model with model class `EfficientVit`.
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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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| [efficientvit_b1.r256_in1k](https://huggingface.co/timm/efficientvit_b1.r256_in1k) | 9.1M | 689.0M | 256 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-18 |
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GhostNet
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1 model with model class `GhostNet`.
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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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| [ghostnetv2_100.in1k](https://huggingface.co/timm/ghostnetv2_100.in1k) | 4.9M | 183.8M | 224 | True | 1280 | 1000 | imagenet-1k | GhostNet | ghostnetv2_100 | 2023-08-20 |
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MetaFormer
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1 model with model class `MetaFormer`.
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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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| [convformer_m36.sail_in22k_ft_in1k](https://huggingface.co/timm/convformer_m36.sail_in22k_ft_in1k) | 57.0M | 12.8G | 224 | True | 576 | 1000 | imagenet-1k | MetaFormer | convformer_m36 | 2023-05-05 |
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NextViT
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1 model with model class `NextViT`.
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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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| [nextvit_base.bd_in1k](https://huggingface.co/timm/nextvit_base.bd_in1k) | 44.8M | 8.3G | 224 | True | 1024 | 1000 | imagenet-1k | NextViT | nextvit_base | 2024-02-11 |
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RegNet
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1 model with model class `RegNet`.
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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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| 105 |
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| [regnetx_080.tv2_in1k](https://huggingface.co/timm/regnetx_080.tv2_in1k) | 39.5M | 8.0G | 224 | True | 1920 | 1000 | imagenet-1k | RegNet | regnetx_080 | 2023-03-21 |
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ResNet
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1 model with model class `ResNet`.
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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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| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k) | 25.6M | 5.2G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnetaa50 | 2023-04-05 |
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VisionTransformer
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3 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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| [vit_base_r50_s16_384.orig_in21k_ft_in1k](https://huggingface.co/timm/vit_base_r50_s16_384.orig_in21k_ft_in1k) | 86.6M | 49.5G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_r50_s16_384 | 2022-12-23 |
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| [vit_base_patch16_clip_384.laion2b_ft_in12k_in1k](https://huggingface.co/timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k) | 86.4M | 49.4G | 384 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch16_clip_384 | 2022-11-11 |
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| [vit_little_patch16_reg4_gap_256.sbb_in1k](https://huggingface.co/timm/vit_little_patch16_reg4_gap_256.sbb_in1k) | 22.4M | 5.7G | 256 | True | 320 | 1000 | imagenet-1k | VisionTransformer | vit_little_patch16_reg4_gap_256 | 2024-05-10 |
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Xcit
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1 model with model class `Xcit`.
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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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| [xcit_small_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_small_24_p16_224.fb_in1k) | 47.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_24_p16_224 | 2023-04-13 |
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models.parquet
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4209625aee68a55dbaa321f480e484f48a2a9331ea02dbfdb98a884d6e1734f2
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size 9397
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repvgg_b1.rvgg_in1k/meta.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:19f3e397cd44e7054056057c87da68dda5bb8745583e06ae3c5967a8f67e3303
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size 169793
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repvgg_b1.rvgg_in1k/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:494f0ea4fd11d5454a1ee8c253c2c9cb7f13059919dfe799514cee58d4fce14d
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size 229707260
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repvgg_b1.rvgg_in1k/preprocess.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:6abb43a6abcd1556f46dcb1b8605bb3c121fb3d91a10e384e0f737a9d92bd254
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size 735
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