Instructions to use microsoft/table-transformer-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/table-transformer-structure-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/table-transformer-structure-recognition")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-structure-recognition") model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-structure-recognition") - Notebooks
- Google Colab
- Kaggle
FinTabNet
#2
by Talhalpern - opened
Hello, what is the best way to train a model on fintabnet? Can you share your pre processing tools?
Thx
Hi,
For training the model I'd recommend checking out the DETR notebooks (as Table Transformer is equivalent), as explained here: https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Table%20Transformer.