Instructions to use Hoixi/TR-Fin-Table-Structure-HoixiFinetuned-Overdose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hoixi/TR-Fin-Table-Structure-HoixiFinetuned-Overdose with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Hoixi/TR-Fin-Table-Structure-HoixiFinetuned-Overdose")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Hoixi/TR-Fin-Table-Structure-HoixiFinetuned-Overdose") model = AutoModelForObjectDetection.from_pretrained("Hoixi/TR-Fin-Table-Structure-HoixiFinetuned-Overdose") - Notebooks
- Google Colab
- Kaggle
File size: 480 Bytes
fa6fab8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"do_convert_annotations": true,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "DetrImageProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"pad_size": null,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"longest_edge": 256,
"shortest_edge": 224
}
}
|