How to use Bazaar/cv_corridor_garbage_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Bazaar/cv_corridor_garbage_detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Bazaar/cv_corridor_garbage_detection") model = AutoModelForImageClassification.from_pretrained("Bazaar/cv_corridor_garbage_detection", device_map="auto")
https://huggingface.co/Bazaar/cv_corridor_garbage_detection/resolve/main/images/garbage.jpg
hf download hf://Bazaar/cv_corridor_garbage_detection/images/garbage.jpg
curl -L -o garbage.jpg https://huggingface.co/Bazaar/cv_corridor_garbage_detection/resolve/main/images/garbage.jpg
