Instructions to use Amogh06/detr-for-table-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amogh06/detr-for-table-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Amogh06/detr-for-table-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Amogh06/detr-for-table-detection") model = AutoModelForObjectDetection.from_pretrained("Amogh06/detr-for-table-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc5903ea31e301993f0ec427eee7c0273e48ff533b76ac74133f97433a535c00
- Size of remote file:
- 167 MB
- SHA256:
- 8efe5209358ce37b6ab98d090a9dca4185e17df62c0338ed9b966fbf4af0993f
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