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Update README.md

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![Ocr Model - a Hugging Face Space by ayush2607.jpg](https://cdn-uploads.huggingface.co/production/uploads/66f936633a9cab14521fbcb8/dGJwKAjWg8WblVRt27Vpp.jpeg)

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@@ -94,4 +94,6 @@ Remember to update your `requirements.txt` file if you make any changes to your
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  - The application uses CPU for inference by default. If you have a CUDA-capable GPU available on your deployment platform, you can modify the `device_map` and `to()` calls in `app.py` to use GPU acceleration.
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  - The model and processor are cached using Streamlit's `@st.cache_resource` decorator to improve performance on subsequent runs.
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  - The application uses CPU for inference by default. If you have a CUDA-capable GPU available on your deployment platform, you can modify the `device_map` and `to()` calls in `app.py` to use GPU acceleration.
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  - The model and processor are cached using Streamlit's `@st.cache_resource` decorator to improve performance on subsequent runs.
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference