Object Detection
Transformers
Safetensors
English
rf_detr
text-generation-inference
mobile-gui-detection
Instructions to use prithivMLmods/rf-detr-mobile-gui-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/rf-detr-mobile-gui-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="prithivMLmods/rf-detr-mobile-gui-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("prithivMLmods/rf-detr-mobile-gui-detection") model = AutoModelForObjectDetection.from_pretrained("prithivMLmods/rf-detr-mobile-gui-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ec98add6f426b7fccd6737a3517ec51896539bc572d9bad167a394f117c1a44b
- Size of remote file:
- 106 kB
- SHA256:
- 6dcc2f92a0c51f68a15804afca4b12fc5d607051bd3d901dec2cd1442a39e688
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.