Transformers How to use hf-tiny-model-private/tiny-random-UperNetForSemanticSegmentation with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, UperNetForSemanticSegmentation
processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UperNetForSemanticSegmentation")
model = UperNetForSemanticSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-UperNetForSemanticSegmentation", device_map="auto") 
