How to use jvadlamudi2/swin-tiny-patch4-window7-224-jvadlamudi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jvadlamudi2/swin-tiny-patch4-window7-224-jvadlamudi2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("jvadlamudi2/swin-tiny-patch4-window7-224-jvadlamudi2") model = AutoModelForImageClassification.from_pretrained("jvadlamudi2/swin-tiny-patch4-window7-224-jvadlamudi2", device_map="auto")
