Cannot load MiDaS model `DPT_SwinV2_T_256` from hub

[shaibagon]

I am trying to use MiDaS (github.com/isl-org/MiDaS) from hub:

midas = torch.hub.load("intel-isl/MiDaS", "DPT_SwinV2_T_256")

I am getting the following error:

RuntimeError: Error(s) in loading state_dict for DPTDepthModel:
        Missing key(s) in state_dict: "pretrained.model.layers.3.downsample.reduction.weight", "pretrained.model.layers.3.downsample.norm.weight", >     "pretrained.model.layers.3.downsample.norm.bias", "pretrained.model.head.fc.weight", "pretrained.model.head.fc.bias".
        Unexpected key(s) in state_dict: "pretrained.model.layers.0.downsample.reduction.weight", "pretrained.model.layers.0.downsample.norm.weight", "pretrained.model.layers.0.downsample.norm.bias", "pretrained.model.layers.0.blocks.1.attn_mask", "pretrained.model.layers.1.blocks.1.attn_mask", "pretrained.model.head.weight", "pretrained.model.head.bias".
        size mismatch for pretrained.model.layers.1.downsample.reduction.weight: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([192, 384]).
        size mismatch for pretrained.model.layers.1.downsample.norm.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([192]).
        size mismatch for pretrained.model.layers.1.downsample.norm.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([192]).
        size mismatch for pretrained.model.layers.2.downsample.reduction.weight: copying a param with shape torch.Size([768, 1536]) from checkpoint, the shape in current model is torch.Size([384, 768]).
        size mismatch for pretrained.model.layers.2.downsample.norm.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([384]).
        size mismatch for pretrained.model.layers.2.downsample.norm.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([384]).