narugo1992
commited on
Export model 'gc_efficientnetv2_rw_t.agc_in1k', on 2025-01-20 05:06:17 UTC
Browse files
README.md
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# Models
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## Beit
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## EfficientNet
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k) | 10.5M | 7.9G | 300 | True | 1536 | 1000 | imagenet-1k | EfficientNet | efficientnet_el | 2022-12-12 |
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| [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-12 |
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| [efficientnet_em.ra2_in1k](https://huggingface.co/timm/efficientnet_em.ra2_in1k) | 6.8M | 3.0G | 240 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_em | 2022-12-12 |
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| [efficientnetv2_rw_t.ra2_in1k](https://huggingface.co/timm/efficientnetv2_rw_t.ra2_in1k) | 13.5M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_t | 2022-12-12 |
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| [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 |
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| [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 |
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# Models
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224 models exported from TIMM in total.
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## Beit
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## EfficientNet
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15 models with model class `EfficientNet`.
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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|:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
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| [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k) | 10.5M | 7.9G | 300 | True | 1536 | 1000 | imagenet-1k | EfficientNet | efficientnet_el | 2022-12-12 |
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| [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-12 |
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| [efficientnet_em.ra2_in1k](https://huggingface.co/timm/efficientnet_em.ra2_in1k) | 6.8M | 3.0G | 240 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_em | 2022-12-12 |
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| [gc_efficientnetv2_rw_t.agc_in1k](https://huggingface.co/timm/gc_efficientnetv2_rw_t.agc_in1k) | 13.6M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | gc_efficientnetv2_rw_t | 2022-12-12 |
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| [efficientnetv2_rw_t.ra2_in1k](https://huggingface.co/timm/efficientnetv2_rw_t.ra2_in1k) | 13.5M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_t | 2022-12-12 |
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| [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 |
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| [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 |
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gc_efficientnetv2_rw_t.agc_in1k/meta.json
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size 169834
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gc_efficientnetv2_rw_t.agc_in1k/model.onnx
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gc_efficientnetv2_rw_t.agc_in1k/preprocess.json
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size 734
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models.parquet
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