TrOCR
Transformer based model for state-of-the-art optical character recognition (OCR) on both printed and handwritten text.
End-to-end text recognition approach with pre-trained image transformer and text transformer models for both image understanding and wordpiece-level text generation.
Technical Details
Model checkpoint:trocr-small-stage1
Input resolution:320x320
Number of parameters (TrOCREncoder):23.0M
Model size (TrOCREncoder):87.8 MB
Number of parameters (TrOCRDecoder):38.3M
Model size (TrOCRDecoder):146 MB
Applicable Scenarios
- Publishing
- Healthcare
- Document Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Supported Compute Chipsets
- Snapdragon® X Elite