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Pin transformers==5.6.2 in install notes

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@@ -20,7 +20,7 @@ Base distilled student; human-level performance. Part of the [PaGE](https://hugg
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  ## Self-contained weights
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  This checkpoint includes the full DINOv3 backbone weights in its `safetensors` files. **No external
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- DINOv3 weights are downloaded** — the DINOv3 model *structure* is provided by `transformers>=4.56`
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  (built-in `dinov3_vit`), and the backbone weights here are derivative weights from full-parameter
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  training of DINOv3. The model code (`modeling_page.py`) is loaded automatically from
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  [`Octopus1/PaGE`](https://huggingface.co/Octopus1/PaGE) via `auto_map` when you pass
@@ -29,10 +29,10 @@ training of DINOv3. The model code (`modeling_page.py`) is loaded automatically
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  ## Installation
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  ```bash
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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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  ## Usage
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  ## Self-contained weights
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  This checkpoint includes the full DINOv3 backbone weights in its `safetensors` files. **No external
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+ DINOv3 weights are downloaded** — the DINOv3 model *structure* is provided by `transformers==5.6.2`
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  (built-in `dinov3_vit`), and the backbone weights here are derivative weights from full-parameter
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  training of DINOv3. The model code (`modeling_page.py`) is loaded automatically from
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  [`Octopus1/PaGE`](https://huggingface.co/Octopus1/PaGE) via `auto_map` when you pass
 
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  ## Installation
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  ```bash
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+ pip install torch torchvision timm "transformers==5.6.2" safetensors pillow
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  ```
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+ Tested with `transformers` 5.6.2.
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  ## Usage
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