How to use mruby/swin-tiny-patch4-window7-224-attempt-m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mruby/swin-tiny-patch4-window7-224-attempt-m") 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("mruby/swin-tiny-patch4-window7-224-attempt-m") model = AutoModelForImageClassification.from_pretrained("mruby/swin-tiny-patch4-window7-224-attempt-m", device_map="auto")
https://huggingface.co/mruby/swin-tiny-patch4-window7-224-attempt-m/resolve/main/.gitignore
hf download hf://mruby/swin-tiny-patch4-window7-224-attempt-m/.gitignore
curl -L -o .gitignore https://huggingface.co/mruby/swin-tiny-patch4-window7-224-attempt-m/resolve/main/.gitignore
