Instructions to use RoblabWhGe/rescuedet-deformable-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RoblabWhGe/rescuedet-deformable-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="RoblabWhGe/rescuedet-deformable-detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("RoblabWhGe/rescuedet-deformable-detr") model = AutoModelForObjectDetection.from_pretrained("RoblabWhGe/rescuedet-deformable-detr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705a0a0d521b596d8a483548becd00ce58131b5c505a122336caf07d4abd99e7
- Size of remote file:
- 5.3 kB
- SHA256:
- f1360900e692f7a368aab77cbdd133fba19acf6885b760acb9df6c0823e15d3c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.