Instructions to use binery/table_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binery/table_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="binery/table_detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("binery/table_detection") model = AutoModelForObjectDetection.from_pretrained("binery/table_detection") - Notebooks
- Google Colab
- Kaggle
File size: 272 Bytes
6e71771 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "DetrFeatureExtractor",
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"max_size": 800,
"size": 800
} |