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prescription-donut-ocr
ajmaclin/prescription-donut-ocr
prescription-donut-ocr is a image-text-to-text model from ajmaclin. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Stage 2 ng YOLO+Donut prescription OCR pipeline.
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Model card
From the Hugging Face model README
Prescription OCR Reader — Donut
Stage 2 ng YOLO+Donut prescription OCR pipeline.
Usage
from transformers import DonutProcessor, VisionEncoderDecoderModel
from huggingface_hub import hf_hub_download
from PIL import Image
processor = DonutProcessor.from_pretrained("ajmaclin/prescription-donut-ocr")
model = VisionEncoderDecoderModel.from_pretrained("ajmaclin/prescription-donut-ocr")
image = Image.open("prescription_crop.jpg")
pixel_values = processor(image, return_tensors="pt").pixel_values
outputs = model.generate(pixel_values, max_length=256)
result = processor.batch_decode(outputs, skip_special_tokens=True)[0]
print(result)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- apache-2.0
- Created
- Mar 19, 2026
- Updated
- Mar 19, 2026