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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#4)
- Adding `safetensors` variant of this model (81e50f61122a3cf316597c480ababc0f6b14588f) Co-authored-by: Safetensors convertbot <[email protected]>f4d4bdc
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