VrDU-Doctor
Collection
4 items • Updated
Image-Text-to-Text
Transformers
Safetensors
English
Spanish
vision-encoder-decoder
vision
document-understanding
donut
# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText
tokenizer = AutoTokenizer.from_pretrained("de-Rodrigo/donut-merit")
model = AutoModelForImageTextToText.from_pretrained("de-Rodrigo/donut-merit")Quick Links
DONUT Merit
Model Architecture
This model is based on the Donut architecture and fine-tuned on the Merit dataset for form understanding tasks.
Example Usage
from transformers import AutoTokenizer, AutoModelForImageTextToText
tokenizer = AutoTokenizer.from_pretrained("de-Rodrigo/donut-merit")
model = AutoModelForImageTextToText.from_pretrained("de-Rodrigo/donut-merit")
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Model tree for de-Rodrigo/donut-merit
Base model
naver-clova-ix/donut-base-finetuned-cord-v2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="de-Rodrigo/donut-merit")