How to use gaunernst/vit_base_patch16_1024_128.audiomae_as2m with timm:
import timm model = timm.create_model("hf-hub:gaunernst/vit_base_patch16_1024_128.audiomae_as2m", pretrained=True)
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I have updated the README, you can refer to it as an example. Basically you can use timm API model.forward_features() then reshape appropriately
model.forward_features()
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