Export model 'hgnetv2_b3.ssld_stage2_ft_in1k', on 2025-01-20 07:29:30 UTC

README.md

@@ -19,6 +19,7 @@ base_model:
 - timm/hgnetv2_b2.ssld_stage1_in22k_in1k
 - timm/hgnetv2_b2.ssld_stage2_ft_in1k
 - timm/hgnetv2_b3.ssld_stage1_in22k_in1k
+- timm/hgnetv2_b3.ssld_stage2_ft_in1k
 - timm/hgnetv2_b4.ssld_stage2_ft_in1k
 - timm/hgnetv2_b5.ssld_stage1_in22k_in1k
 - timm/hgnetv2_b6.ssld_stage1_in22k_in1k
@@ -55,7 +56,6 @@ base_model:
 - timm/nextvit_large.bd_ssld_6m_in1k
 - timm/nextvit_small.bd_in1k_384
 - timm/nextvit_small.bd_ssld_6m_in1k
-- timm/repghostnet_200.in1k
 - timm/repvit_m0_9.dist_300e_in1k
 - timm/repvit_m1.dist_in1k
 - timm/repvit_m1_1.dist_450e_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-498 models exported from TIMM in total.
+499 models exported from TIMM in total.
 
 ## Beit
 
@@ -404,7 +404,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## HighPerfGpuNet
 
-9 models with model class `HighPerfGpuNet`.
+10 models with model class `HighPerfGpuNet`.
 
 | Name                                                                                               | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model          | Architecture   | Created At   |
 |:---------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:---------------|:---------------|:-------------|
@@ -414,6 +414,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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   |
 | [hgnet_tiny.paddle_in1k](https://huggingface.co/timm/hgnet_tiny.paddle_in1k)                       | 14.7M    | 4.6G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnet_tiny     | 2024-02-12   |
 | [hgnetv2_b4.ssld_stage2_ft_in1k](https://huggingface.co/timm/hgnetv2_b4.ssld_stage2_ft_in1k)       | 19.8M    | 2.8G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b4     | 2024-02-12   |
+| [hgnetv2_b3.ssld_stage2_ft_in1k](https://huggingface.co/timm/hgnetv2_b3.ssld_stage2_ft_in1k)       | 16.3M    | 1.8G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b3     | 2024-02-12   |
 | [hgnetv2_b3.ssld_stage1_in22k_in1k](https://huggingface.co/timm/hgnetv2_b3.ssld_stage1_in22k_in1k) | 16.3M    | 1.8G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b3     | 2024-02-12   |
 | [hgnetv2_b2.ssld_stage2_ft_in1k](https://huggingface.co/timm/hgnetv2_b2.ssld_stage2_ft_in1k)       | 11.2M    | 1.2G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b2     | 2024-02-12   |
 | [hgnetv2_b2.ssld_stage1_in22k_in1k](https://huggingface.co/timm/hgnetv2_b2.ssld_stage1_in22k_in1k) | 11.2M    | 1.2G    |          224 | True           |       2048 |      1000 | imagenet-1k | HighPerfGpuNet | hgnetv2_b2     | 2024-02-12   |

hgnetv2_b3.ssld_stage2_ft_in1k/meta.json

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hgnetv2_b3.ssld_stage2_ft_in1k/model.onnx

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hgnetv2_b3.ssld_stage2_ft_in1k/preprocess.json

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models.parquet

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