Instructions to use pylu5229/conditional-detr-resnet-50-uLED-obj-detect-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pylu5229/conditional-detr-resnet-50-uLED-obj-detect-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="pylu5229/conditional-detr-resnet-50-uLED-obj-detect-test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("pylu5229/conditional-detr-resnet-50-uLED-obj-detect-test") model = AutoModelForObjectDetection.from_pretrained("pylu5229/conditional-detr-resnet-50-uLED-obj-detect-test") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 25
Browse files
model.safetensors
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