Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
Generated from Trainer
computer-vision
deformable-detr
detr
Instructions to use mcity-data-engine/fisheye8k_SenseTime_deformable-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_SenseTime_deformable-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_SenseTime_deformable-detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_SenseTime_deformable-detr") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_SenseTime_deformable-detr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e43c34aace2b2869a9e7789beb96a183a67e789420a3305d131010632880118
- Size of remote file:
- 5.56 kB
- SHA256:
- eab88fb0cbb0f1b875c76be5973e6ab83ad82a513e543c5937ce89f25702cbea
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