How to use apple/aimv2-large-patch14-448 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="apple/aimv2-large-patch14-448", trust_remote_code=True)
# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("apple/aimv2-large-patch14-448", trust_remote_code=True) model = AutoModel.from_pretrained("apple/aimv2-large-patch14-448", trust_remote_code=True)
How to use apple/aimv2-large-patch14-448 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir aimv2-large-patch14-448 apple/aimv2-large-patch14-448
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