# import requests | |
# from PIL import Image | |
from transformers import AutoImageProcessor, AutoModel | |
# url = "http://images.cocodataset.org/val2017/000000039769.jpg" | |
# image = Image.open(requests.get(url, stream=True).raw) | |
PATH = "." | |
MODEL_NAME = "apple/aimv2-large-patch14-native" | |
processor = AutoImageProcessor.from_pretrained(MODEL_NAME) | |
processor.save_pretrained(PATH) | |
model = AutoModel.from_pretrained( | |
MODEL_NAME, | |
trust_remote_code=True, | |
) | |
model.save_pretrained(PATH) | |
# inputs = processor(images=image, return_tensors="pt") | |
# outputs = model(**inputs) | |