Instructions to use TahaDouaji/detr-doc-table-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TahaDouaji/detr-doc-table-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TahaDouaji/detr-doc-table-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TahaDouaji/detr-doc-table-detection") model = AutoModelForObjectDetection.from_pretrained("TahaDouaji/detr-doc-table-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
2e0cb6f 4438765 20e6b05 4438765 20e6b05 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"do_normalize": true,
"do_resize": true,
"image_processor_type": "DetrImageProcessor",
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"size": {
"longest_edge": 1333,
"shortest_edge": 800
}
} |