Export model 'regnetx_008.pycls_in1k', on 2025-01-20 05:34:25 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-273 models exported from TIMM in total.
+274 models exported from TIMM in total.
 
 ## Beit
 
@@ -509,7 +509,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## RegNet
 
-14 models with model class `RegNet`.
+15 models with model class `RegNet`.
 
 | Name                                                                                         | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture   | Created At   |
 |:---------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:---------------|:-------------|
@@ -526,6 +526,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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_032.pycls_in1k](https://huggingface.co/timm/regnety_032.pycls_in1k)                 | 19.4M    | 3.2G    |          224 | True           |       1512 |      1000 | imagenet-1k  | RegNet  | regnety_032    | 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_008.pycls_in1k](https://huggingface.co/timm/regnetx_008.pycls_in1k)                 | 7.2M     | 799.7M  |          224 | True           |        672 |      1000 | imagenet-1k  | RegNet  | regnetx_008    | 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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regnetx_008.pycls_in1k/meta.json

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regnetx_008.pycls_in1k/model.onnx

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regnetx_008.pycls_in1k/preprocess.json

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