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Saving trained models along with their configuration to the Hugging Face Hub for sharing or reuse.
Distinct from Hugging Face: Distinct from Hugging Face: focuses on publishing models to the Hub, not converting models from the Hub into optimized formats.
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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
Saves trained OCR models along with their configuration to the Hugging Face Hub for sharing or reuse.