metadata
license: apache-2.0
datasets:
- mychen76/invoices-and-receipts_ocr_v1
language:
- en
Intro
The model* is fine-tuned on Qwen2.5-3B-VL using a dataset of invoices and receipts. It can be used to extract text from the input and return the output in a specified JSon format.
*It is already merged with the LoRA layer and the original model. Be mindful of the input size to avoid a CUDA out-of-memory error.
Here is an example notebook of inference
For the LoRA params only, go to this repo
Usage:
from transformers import AutoModelForVision2Seq, AutoProcessor, AutoTokenizer
model = AutoModelForVision2Seq.from_pretrained(
"callmeeric5/Qwen3B-Invoice-Receipt",
device_map="cuda", #auto
torch_dtype="auto"
)
tokenizer = AutoTokenizer.from_pretrained("callmeeric5/Qwen-3B-Invoice-Receipt")
processor = AutoProcessor.from_pretrained("callmeeric5/Qwen-3B-Invoice-Receipt")