Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
Generated from Trainer
computer-vision
autonomous-driving
data-centric-ai
open-vocabulary
deformable-detr
Instructions to use mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 340ae54bb07a23bee727694ba385ff8e6846f89427630374b488b3ed9301744a
- Size of remote file:
- 165 MB
- SHA256:
- e1f4cb04d83b3f94880e44b5bdbbacc6961143f3b0f373caed3bc7c3daa5ecbc
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