# Load model directly
from transformers import AutoImageProcessor, BeitForSemanticSegmentation
processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-beit-pipeline")
model = BeitForSemanticSegmentation.from_pretrained("hf-internal-testing/tiny-random-beit-pipeline")Quick Links
Make the feature_extractor and model config agree.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="hf-internal-testing/tiny-random-beit-pipeline")