# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText
tokenizer = AutoTokenizer.from_pretrained("PCS/Extract_Matic")
model = AutoModelForImageTextToText.from_pretrained("PCS/Extract_Matic")Quick Links
Sparrow - Data extraction from documents with ML
This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.
Mean accuracy on test set: 0.96
Inference:
Training loss:
Sparrow on GitHub
Sample invoice docs to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)
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# 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="PCS/Extract_Matic")