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 'xcit_small_12_p16_224.fb_dist_in1k', on 2025-01-20 05:34:56 UTC
Browse files
README.md
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# Models
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## Beit
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## Xcit
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| [xcit_medium_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_medium_24_p16_224.fb_in1k) | 84.4M | 15.8G | 224 | True | 512 | 1000 | imagenet-1k | Xcit | xcit_medium_24_p16_224 | 2023-04-13 |
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| [xcit_small_12_p16_384.fb_dist_in1k](https://huggingface.co/timm/xcit_small_12_p16_384.fb_dist_in1k) | 26.2M | 13.9G | 384 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_12_p16_384 | 2023-04-13 |
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| [xcit_small_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_small_24_p16_224.fb_in1k) | 47.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_24_p16_224 | 2023-04-13 |
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| [xcit_tiny_12_p8_224.fb_in1k](https://huggingface.co/timm/xcit_tiny_12_p8_224.fb_in1k) | 6.7M | 4.6G | 224 | True | 192 | 1000 | imagenet-1k | Xcit | xcit_tiny_12_p8_224 | 2023-04-13 |
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| [xcit_tiny_24_p16_224.fb_dist_in1k](https://huggingface.co/timm/xcit_tiny_24_p16_224.fb_dist_in1k) | 12.1M | 2.3G | 224 | True | 192 | 1000 | imagenet-1k | Xcit | xcit_tiny_24_p16_224 | 2023-04-13 |
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| [xcit_nano_12_p16_224.fb_in1k](https://huggingface.co/timm/xcit_nano_12_p16_224.fb_in1k) | 3.0M | 538.2M | 224 | True | 128 | 1000 | imagenet-1k | Xcit | xcit_nano_12_p16_224 | 2023-04-13 |
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# Models
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275 models exported from TIMM in total.
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## Beit
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## Xcit
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11 models with model class `Xcit`.
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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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| [xcit_medium_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_medium_24_p16_224.fb_in1k) | 84.4M | 15.8G | 224 | True | 512 | 1000 | imagenet-1k | Xcit | xcit_medium_24_p16_224 | 2023-04-13 |
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| [xcit_small_12_p16_384.fb_dist_in1k](https://huggingface.co/timm/xcit_small_12_p16_384.fb_dist_in1k) | 26.2M | 13.9G | 384 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_12_p16_384 | 2023-04-13 |
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| [xcit_small_24_p16_224.fb_in1k](https://huggingface.co/timm/xcit_small_24_p16_224.fb_in1k) | 47.6M | 8.9G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_24_p16_224 | 2023-04-13 |
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| [xcit_small_12_p16_224.fb_dist_in1k](https://huggingface.co/timm/xcit_small_12_p16_224.fb_dist_in1k) | 26.2M | 4.7G | 224 | True | 384 | 1000 | imagenet-1k | Xcit | xcit_small_12_p16_224 | 2023-04-13 |
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| [xcit_tiny_12_p8_224.fb_in1k](https://huggingface.co/timm/xcit_tiny_12_p8_224.fb_in1k) | 6.7M | 4.6G | 224 | True | 192 | 1000 | imagenet-1k | Xcit | xcit_tiny_12_p8_224 | 2023-04-13 |
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| [xcit_tiny_24_p16_224.fb_dist_in1k](https://huggingface.co/timm/xcit_tiny_24_p16_224.fb_dist_in1k) | 12.1M | 2.3G | 224 | True | 192 | 1000 | imagenet-1k | Xcit | xcit_tiny_24_p16_224 | 2023-04-13 |
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| [xcit_nano_12_p16_224.fb_in1k](https://huggingface.co/timm/xcit_nano_12_p16_224.fb_in1k) | 3.0M | 538.2M | 224 | True | 128 | 1000 | imagenet-1k | Xcit | xcit_nano_12_p16_224 | 2023-04-13 |
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models.parquet
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xcit_small_12_p16_224.fb_dist_in1k/meta.json
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