How to use facebook/deit-tiny-distilled-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/deit-tiny-distilled-patch16-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/deit-tiny-distilled-patch16-224") model = AutoModelForImageClassification.from_pretrained("facebook/deit-tiny-distilled-patch16-224")
The wrong image size leads to issues when you use "feature_extractor.size" property to configure your data augmentation.
cc @nielsr here - does this look correct to you?
Thanks for fixing!
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