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
- Xet hash:
- e78778928a1863786d5bb22a109a7ff1dbac47a29eae6f223a1fc2689172c347
- Size of remote file:
- 115 MB
- SHA256:
- f581da65a586591124cac9545b09b93e4e8bf28ce3a8357af6ac15ce94fce16b
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