Instructions to use disco-eth/cue-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use disco-eth/cue-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="disco-eth/cue-detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("disco-eth/cue-detr") model = AutoModelForObjectDetection.from_pretrained("disco-eth/cue-detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("disco-eth/cue-detr")
model = AutoModelForObjectDetection.from_pretrained("disco-eth/cue-detr", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="disco-eth/cue-detr")