Instructions to use mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_microsoft_conditional-detr-resnet-50") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb06_18-04-09_mcity-rtx-4090
- Feb06_18-23-55_mcity-rtx-4090
- Feb06_18-34-29_mcity-rtx-4090
- Feb07_09-16-27_mcity-rtx-4090
- Feb07_10-00-59_mcity-rtx-4090
- Feb07_15-33-35_mcity-rtx-4090
- Feb12_11-43-31_mcity-rtx-4090
- Feb12_11-54-31_mcity-rtx-4090
- Feb12_13-08-31_mcity-rtx-4090
- Feb12_20-50-19_mcity-rtx-4090
- Feb14_17-20-07_mcity-rtx-4090