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README.md
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# TrOCR: Optimized for Mobile Deployment
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## Transformer based model for state-of-the-art optical character recognition (OCR) on both printed and handwritten text
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End-to-end text recognition approach with pre-trained image transformer and text transformer models for both image understanding and wordpiece-level text generation.
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This model is an implementation of
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This repository provides scripts to run TrOCR on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/trocr).
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# TrOCR: Optimized for Mobile Deployment
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## Transformer based model for state-of-the-art optical character recognition (OCR) on both printed and handwritten text
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End-to-end text recognition approach with pre-trained image transformer and text transformer models for both image understanding and wordpiece-level text generation.
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This model is an implementation of Posenet-Mobilenet found [here](https://huggingface.co/microsoft/trocr-small-stage1).
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This repository provides scripts to run TrOCR on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/trocr).
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