# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("SalML/DETR-table-detection")
model = AutoModelForObjectDetection.from_pretrained("SalML/DETR-table-detection")Quick Links
The models are taken from https://github.com/microsoft/table-transformer/
Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-detection
I have built a HuggingFace Space: https://huggingface.co/spaces/SalML/TableTransformer2CSV It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SalML/DETR-table-detection")