Making inference from a pretrained HRNet?

[Ainecop]

Great Work. I was wondering How can I make inference from a pretrained HRNet. Please do provide a pretrained HRNet model or provide the link as the dimensions are mismatching when i downloaded hrnet pretrained from HRNet official.
What parameters do you set for pretrained HRNet ? Waiting for a positive response.

[Ainecop]

    size mismatch for transition1.1.0.1.running_mean: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([64]).
    size mismatch for transition1.1.0.1.running_var: copying a param with shape torch.Size([96]) from checkpoint, the shape in current model is torch.Size([64]).
    size mismatch for stage2.0.branches.0.0.conv1.weight: copying a param with shape torch.Size([48, 48, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 1, 1]).
    size mismatch for stage2.0.branches.0.0.bn1.weight: copying a param with shape torch.Size([48]) from checkpoint, the shape in current 

model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn1.bias: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn1.running_mean: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn1.running_var: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.conv2.weight: copying a param with shape torch.Size([48, 48, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3]).
size mismatch for stage2.0.branches.0.0.bn2.weight: copying a param with shape torch.Size([48]) from checkpoint, the shape in current
model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn2.bias: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn2.running_mean: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for stage2.0.branches.0.0.bn2.running_var: copying a param with shape torch.Size([48]) from checkpoint, the shape in current model is torch.Size([32]).