# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText
tokenizer = AutoTokenizer.from_pretrained("intexcp/donut")
model = AutoModelForImageTextToText.from_pretrained("intexcp/donut")Quick Links
The Donut (end-to-end transformer) model for text recognition
Using:
from transformers import AutoTokenizer, AutoModelForImageTextToText, AutoProcessor
from datasets import load_dataset
processor = AutoProcessor.from_pretrained("intexcp/donut")
tokenizer = AutoTokenizer.from_pretrained("intexcp/donut")
model = AutoModelForImageTextToText.from_pretrained("intexcp/donut")
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Akajackson/donut_rus
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="intexcp/donut")