Transformers How to use hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation
processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation")
model = Mask2FormerForUniversalSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation", device_map="auto") 
