Instructions to use muhammadummerrr/donut-receipt-lora-testing-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use muhammadummerrr/donut-receipt-lora-testing-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Bennet1996/donut-small") model = PeftModel.from_pretrained(base_model, "muhammadummerrr/donut-receipt-lora-testing-adapter") - Notebooks
- Google Colab
- Kaggle
Donut Receipt LoRA Adapter 🧾
This is a LoRA adapter fine-tuned on Bennet1996/donut-small for receipt key information extraction.
Extracts:
companydate(any format:DD/MM/YYYY,DD-MM-YYYY, etc.)addresstotal
You can attach this adapter to the base Donut model like:
from peft import PeftModel
from transformers import VisionEncoderDecoderModel
base = VisionEncoderDecoderModel.from_pretrained("Bennet1996/donut-small")
model = PeftModel.from_pretrained(base, "YOUR_USERNAME/donut-receipt-lora-finetuned-adapter")
- Downloads last month
- 8
Model tree for muhammadummerrr/donut-receipt-lora-testing-adapter
Base model
Bennet1996/donut-small