How to use Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation") 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("Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation") model = AutoModelForImageClassification.from_pretrained("Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation")
SFconvertbot