Instructions to use nielsr/rf-detr-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/rf-detr-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nielsr/rf-detr-small")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nielsr/rf-detr-small") model = AutoModelForObjectDetection.from_pretrained("nielsr/rf-detr-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 303 Bytes
f5faab8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"do_normalize": true,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "RfDetrImageProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"num_top_queries": 300,
"resample": 2,
"size": {
"height": 512,
"width": 512
}
}
|