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
| { | |
| "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 | |
| } | |
| } | |