How to use pphildan/vit-base-patch16-224-v21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pphildan/vit-base-patch16-224-v21") 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("pphildan/vit-base-patch16-224-v21") model = AutoModelForImageClassification.from_pretrained("pphildan/vit-base-patch16-224-v21", device_map="auto")
https://huggingface.co/pphildan/vit-base-patch16-224-v21/resolve/main/.gitignore
hf download hf://pphildan/vit-base-patch16-224-v21/.gitignore
curl -L -o .gitignore https://huggingface.co/pphildan/vit-base-patch16-224-v21/resolve/main/.gitignore
