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 'xception41.tf_in1k', on 2025-01-20 05:31:09 UTC
Browse files- README.md +3 -2
- models.parquet +2 -2
- xception41.tf_in1k/meta.json +3 -0
- xception41.tf_in1k/model.onnx +3 -0
- xception41.tf_in1k/preprocess.json +3 -0
README.md
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# Models
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## Beit
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## XceptionAligned
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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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| [xception65.tf_in1k](https://huggingface.co/timm/xception65.tf_in1k) | 39.9M | 14.0G | 299 | True | 2048 | 1000 | imagenet-1k | XceptionAligned | xception65 | 2023-04-21 |
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## Xcit
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# Models
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266 models exported from TIMM in total.
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## Beit
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## XceptionAligned
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2 models with model class `XceptionAligned`.
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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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| [xception65.tf_in1k](https://huggingface.co/timm/xception65.tf_in1k) | 39.9M | 14.0G | 299 | True | 2048 | 1000 | imagenet-1k | XceptionAligned | xception65 | 2023-04-21 |
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| [xception41.tf_in1k](https://huggingface.co/timm/xception41.tf_in1k) | 27.0M | 9.3G | 299 | True | 2048 | 1000 | imagenet-1k | XceptionAligned | xception41 | 2023-04-21 |
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## Xcit
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models.parquet
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xception41.tf_in1k/meta.json
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size 169799
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xception41.tf_in1k/model.onnx
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size 107703723
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xception41.tf_in1k/preprocess.json
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size 642
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