Export model 'efficientvit_m4.r224_in1k', on 2025-01-20 04:53:23 UTC

README.md

@@ -27,6 +27,7 @@ base_model:
 - timm/efficientvit_b2.r256_in1k
 - timm/efficientvit_l1.r224_in1k
 - timm/efficientvit_m2.r224_in1k
+- timm/efficientvit_m4.r224_in1k
 - timm/ese_vovnet39b.ra_in1k
 - timm/fastvit_s12.apple_dist_in1k
 - timm/fastvit_t12.apple_in1k
@@ -75,7 +76,6 @@ base_model:
 - timm/res2net101_26w_4s.in1k
 - timm/resnest14d.gluon_in1k
 - timm/resnetv2_18d.ra4_e3600_r224_in1k
-- timm/resnext101_32x8d.tv_in1k
 - timm/selecsls42b.in1k
 - timm/seresnext50_32x4d.gluon_in1k
 - timm/skresnext50_32x4d.ra_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-191 models exported from TIMM in total.
+192 models exported from TIMM in total.
 
 ## Beit
 
@@ -249,10 +249,11 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientVitMsra
 
-1 model with model class `EfficientVitMsra`.
+2 models with model class `EfficientVitMsra`.
 
 | Name                                                                               | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model            | Architecture    | Created At   |
 |:-----------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:-----------------|:----------------|:-------------|
+| [efficientvit_m4.r224_in1k](https://huggingface.co/timm/efficientvit_m4.r224_in1k) | 8.8M     | 301.8M  |          224 | True           |        384 |      1000 | imagenet-1k | EfficientVitMsra | efficientvit_m4 | 2023-08-18   |
 | [efficientvit_m2.r224_in1k](https://huggingface.co/timm/efficientvit_m2.r224_in1k) | 4.2M     | 203.3M  |          224 | True           |        224 |      1000 | imagenet-1k | EfficientVitMsra | efficientvit_m2 | 2023-08-18   |
 
 ## Eva

efficientvit_m4.r224_in1k/meta.json

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efficientvit_m4.r224_in1k/model.onnx

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efficientvit_m4.r224_in1k/preprocess.json

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+size 734

models.parquet

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+size 20696