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Add ThinkingViT weights

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  1. README.md +3 -3
README.md CHANGED
@@ -15,9 +15,9 @@ metrics:
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  - accuracy
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  ---
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- # ThinkingViT 800 Epochs DeiT 3H -> 6H ImageNet-1K
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- This repository contains the ImageNet-1K EMA weights for **ThinkingViT 800 Epochs DeiT 3H -> 6H ImageNet-1K** from
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  [ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference](https://arxiv.org/abs/2507.10800).
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  - Paper: https://arxiv.org/abs/2507.10800
@@ -34,7 +34,7 @@ import torch
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  from timm.models import create_model
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  # Run from the ThinkingViT repository root, or put this repository on PYTHONPATH.
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- model = create_model("hf-hub:NCPS/thinkingvit_800epochs", pretrained=True)
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  model.eval()
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  x = torch.randn(1, 3, 224, 224)
 
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  - accuracy
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  ---
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+ # ThinkingViT DeiT 3H -> 6H 800 Epochs ImageNet-1K
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+ This repository contains the ImageNet-1K EMA weights for **ThinkingViT DeiT 3H -> 6H 800 Epochs ImageNet-1K** from
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  [ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference](https://arxiv.org/abs/2507.10800).
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  - Paper: https://arxiv.org/abs/2507.10800
 
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  from timm.models import create_model
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  # Run from the ThinkingViT repository root, or put this repository on PYTHONPATH.
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+ model = create_model("hf-hub:NCPS/thinkingvit_deit-3h-6h-800epochs-imagenet1k", pretrained=True)
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  model.eval()
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  x = torch.randn(1, 3, 224, 224)