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Collections of OCR model checkpoints loaded from the Hugging Face Hub for document text recognition.
Distinct from Hugging Face: Distinct from Hugging Face: specifically targets OCR model checkpoints on the Hub, not general model conversion.
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DocTR is a deep learning OCR library built on PyTorch that detects and transcribes text in document images using a two-stage detection-recognition pipeline. It provides a complete framework for building and deploying OCR pipelines with pretrained models available through the Hugging Face Hub, and supports exporting trained models to ONNX format for cross-runtime deployment. The library offers end-to-end OCR pipelines that combine text detection and recognition to extract all text from document images or PDFs, with support for rotated page handling and varied text orientations. It includes cap
Loads pretrained OCR model checkpoints directly from the Hugging Face Hub for immediate use.