Export model 'fbnetc_100.rmsp_in1k', on 2025-01-20 05:09:10 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-231 models exported from TIMM in total.
+232 models exported from TIMM in total.
 
 ## Beit
 
@@ -226,7 +226,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-15 models with model class `EfficientNet`.
+16 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -239,6 +239,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k) | 8.4M     | 1.8G    |          224 | True           |       1344 |      1000 | imagenet-1k  | EfficientNet | mobilenet_edgetpu_v2_m | 2024-07-29   |
 | [efficientnet_es_pruned.in1k](https://huggingface.co/timm/efficientnet_es_pruned.in1k)                               | 5.4M     | 1.8G    |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_es_pruned | 2022-12-12   |
 | [mixnet_xl.ra_in1k](https://huggingface.co/timm/mixnet_xl.ra_in1k)                                                   | 11.8M    | 904.1M  |          224 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | mixnet_xl              | 2022-12-12   |
+| [fbnetc_100.rmsp_in1k](https://huggingface.co/timm/fbnetc_100.rmsp_in1k)                                             | 5.5M     | 385.1M  |          224 | True           |       1984 |      1000 | imagenet-1k  | EfficientNet | fbnetc_100             | 2022-12-12   |
 | [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k)                                       | 3.9M     | 311.6M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | semnasnet_100          | 2022-12-13   |
 | [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   |
 | [tinynet_b.in1k](https://huggingface.co/timm/tinynet_b.in1k)                                                         | 3.7M     | 200.8M  |          188 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | tinynet_b              | 2022-12-13   |

fbnetc_100.rmsp_in1k/meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ec93525ad47e3254a43cbef07bbc2d525c871c958f41a1b17a383410cb5f831
+size 169798

fbnetc_100.rmsp_in1k/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ae1770d313dd38c9a261f9d72130cd53cef61781c7cd54c30be81eb62f66a3
+size 22249089

fbnetc_100.rmsp_in1k/preprocess.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6abb43a6abcd1556f46dcb1b8605bb3c121fb3d91a10e384e0f737a9d92bd254
+size 735

models.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:97a94b1e6db265190126959a1e374edc9856aeb556db24b16ee4709ff6d5a6a6
-size 22820
+oid sha256:7e56c4aa157e04897ef52ab3a524e3b48ecd9ad21bdb94e952d56820b410a89d
+size 22860