Export model 'regnety_016.pycls_in1k', on 2025-01-20 05:12:25 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-237 models exported from TIMM in total.
+238 models exported from TIMM in total.
 
 ## Beit
 
@@ -476,7 +476,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## RegNet
 
-11 models with model class `RegNet`.
+12 models with model class `RegNet`.
 
 | Name                                                                                         | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture   | Created At   |
 |:---------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:---------------|:-------------|
@@ -490,6 +490,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [regnetv_064.ra3_in1k](https://huggingface.co/timm/regnetv_064.ra3_in1k)                     | 30.5M    | 6.4G    |          224 | True           |       1296 |      1000 | imagenet-1k  | RegNet  | regnetv_064    | 2023-03-21   |
 | [regnetv_040.ra3_in1k](https://huggingface.co/timm/regnetv_040.ra3_in1k)                     | 20.6M    | 4.0G    |          224 | True           |       1088 |      1000 | imagenet-1k  | RegNet  | regnetv_040    | 2023-03-21   |
 | [regnetx_040.pycls_in1k](https://huggingface.co/timm/regnetx_040.pycls_in1k)                 | 22.0M    | 4.0G    |          224 | True           |       1360 |      1000 | imagenet-1k  | RegNet  | regnetx_040    | 2023-03-21   |
+| [regnety_016.pycls_in1k](https://huggingface.co/timm/regnety_016.pycls_in1k)                 | 11.1M    | 1.6G    |          224 | True           |        888 |      1000 | imagenet-1k  | RegNet  | regnety_016    | 2023-03-21   |
 | [regnetx_002.pycls_in1k](https://huggingface.co/timm/regnetx_002.pycls_in1k)                 | 2.7M     | 199.1M  |          224 | True           |        368 |      1000 | imagenet-1k  | RegNet  | regnetx_002    | 2023-03-21   |
 
 ## RepGhostNet

models.parquet

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regnety_016.pycls_in1k/meta.json

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regnety_016.pycls_in1k/model.onnx

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regnety_016.pycls_in1k/preprocess.json

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