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README: drop venue, note tested transformers versions

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@@ -10,8 +10,7 @@ pipeline_tag: image-feature-extraction
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  # PaGE ViT-B Distill
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- Base distilled student; human-level performance. Part of the [PaGE](https://huggingface.co/Octopus1/PaGE) gaze target estimation family
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- (ICLR 2026).
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  - **Backbone:** DINOv3 ViT-B (derivative of DINOv3, full-parameter trained)
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  - **Params:** ~90M
@@ -33,6 +32,8 @@ training of DINOv3. The model code (`modeling_page.py`) is loaded automatically
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  pip install torch torchvision timm "transformers>=4.56" safetensors pillow
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  ```
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  ## Usage
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  ```python
 
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  # PaGE ViT-B Distill
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+ Base distilled student; human-level performance. Part of the [PaGE](https://huggingface.co/Octopus1/PaGE) gaze target estimation family.
 
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  - **Backbone:** DINOv3 ViT-B (derivative of DINOv3, full-parameter trained)
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  - **Params:** ~90M
 
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  pip install torch torchvision timm "transformers>=4.56" safetensors pillow
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  ```
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+ Tested with `transformers` 4.56.0 and 5.6.2.
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+
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  ## Usage
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  ```python