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license: mit |
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tags: |
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- 'vit ' |
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- image classification |
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- ggml |
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--- |
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# Vision Transformer (ViT) models for image classification converted to ggml format |
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[Available models](https://github.com/staghado/vit.cpp) |
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| Model | Disk | Mem | SHA | |
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| --- | --- | --- | --- | |
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| tiny | 12 MB | ~20 MB | `25ce65ff60e08a1a5b486685b533d79718e74c0f` | |
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| small | 45 MB | ~52 MB | `7a9f85340bd1a3dcd4275f46d5ee1db66649700e` | |
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| base | 174 MB | ~179 MB | `a10d29628977fe27691edf55b7238f899b8c02eb` | |
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| large | 610 MB | ~597 MB | `5f27087930f21987050188f9dc9eea75ac607214` | |
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The models are pre-trained on ImageNet21k then finetuned on ImageNet1k |
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with a patch size of 16 and an image size of 224. |
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For more information, visit: |
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https://github.com/staghado/vit.cpp |
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