Instructions to use deepghs/timms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use deepghs/timms with timm:
import timm model = timm.create_model("hf_hub:deepghs/timms", pretrained=True) - Notebooks
- Google Colab
- Kaggle
narugo1992 commited on
Export model 'efficientvit_l3.r320_in1k', on 2025-01-21 16:48:18 JST
Browse files- README.md +3 -2
- efficientvit_l3.r320_in1k/meta.json +3 -0
- efficientvit_l3.r320_in1k/model.onnx +3 -0
- efficientvit_l3.r320_in1k/preprocess.json +3 -0
- models.parquet +2 -2
README.md
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# Models
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## Beit
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## EfficientVitLarge
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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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| [efficientvit_l3.r256_in1k](https://huggingface.co/timm/efficientvit_l3.r256_in1k) | 246.0M | 36.0G | 256 | True | 6400 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22 |
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| [efficientvit_l3.r224_in1k](https://huggingface.co/timm/efficientvit_l3.r224_in1k) | 246.0M | 27.6G | 224 | True | 6400 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22 |
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| [efficientvit_l2.r384_in1k](https://huggingface.co/timm/efficientvit_l2.r384_in1k) | 63.7M | 20.4G | 384 | True | 3200 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-22 |
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# Models
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1108 models exported from TIMM in total.
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## Beit
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## EfficientVitLarge
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8 models with model class `EfficientVitLarge`.
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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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| [efficientvit_l3.r320_in1k](https://huggingface.co/timm/efficientvit_l3.r320_in1k) | 246.0M | 56.3G | 320 | True | 6400 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22 |
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| [efficientvit_l3.r256_in1k](https://huggingface.co/timm/efficientvit_l3.r256_in1k) | 246.0M | 36.0G | 256 | True | 6400 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22 |
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| [efficientvit_l3.r224_in1k](https://huggingface.co/timm/efficientvit_l3.r224_in1k) | 246.0M | 27.6G | 224 | True | 6400 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l3 | 2023-11-22 |
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| [efficientvit_l2.r384_in1k](https://huggingface.co/timm/efficientvit_l2.r384_in1k) | 63.7M | 20.4G | 384 | True | 3200 | 1000 | imagenet-1k | EfficientVitLarge | efficientvit_l2 | 2023-11-22 |
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efficientvit_l3.r320_in1k/meta.json
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size 169822
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efficientvit_l3.r320_in1k/model.onnx
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efficientvit_l3.r320_in1k/preprocess.json
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models.parquet
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size 61314
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