MVRL
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Transformers
PyTorch
Inference Endpoints
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+ ---
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+ license: apache-2.0
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+ ---
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+ Model: ViTAE-RVSA (https://arxiv.org/abs/2208.03987)
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+
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+ Variant: ViTAE-b_pretrain
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+
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+ Example Usage:
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+ import torch
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+
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+ hf_hub_download("MVRL/rvsa_vitae_b", "model.py", local_dir=".")
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+
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+ from model import MaskedAutoencoderViTAE
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+
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+ model = MaskedAutoencoderViTAE.from_pretrained("MVRL/rvsa_vitae_b")
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+
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+ print(model.forward_encoder(torch.randn(1, 3, 224, 224), mask_ratio=0.0)[0].shape)
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+ ```