How to use hf-internal-testing/tiny-random-beit-pipeline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="hf-internal-testing/tiny-random-beit-pipeline")
# 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")
Make the feature_extractor and model config agree.
