Multimodal Autoregressive Pre-training of Large Vision Encoders
Paper • 2411.14402 • Published • 48
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModel
processor = AutoImageProcessor.from_pretrained("timm/aimv2_large_patch14_448.apple_pt")
model = AutoModel.from_pretrained("timm/aimv2_large_patch14_448.apple_pt", device_map="auto")Quick Links
Model card for aimv2_large_patch14_448.apple_pt
timm compatible AIM-v2 (https://huggingface.co/papers/2411.14402) image encoder weights from https://huggingface.co/apple/aimv2-large-patch14-448
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/aimv2_large_patch14_448.apple_pt")