Vision Transformer (ViT) models for image classification converted to ggml format
Model | Disk | Mem | SHA |
---|---|---|---|
tiny | 12 MB | ~20 MB | 25ce65ff60e08a1a5b486685b533d79718e74c0f |
small | 45 MB | ~52 MB | 7a9f85340bd1a3dcd4275f46d5ee1db66649700e |
base | 174 MB | ~179 MB | a10d29628977fe27691edf55b7238f899b8c02eb |
large | 610 MB | ~597 MB | 5f27087930f21987050188f9dc9eea75ac607214 |
The models are pre-trained on ImageNet21k then finetuned on ImageNet1k with a patch size of 16 and an image size of 224.
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