size mismatch for vision_model
#10
by XiaoHangjia - opened
size mismatch for vision_model.post_layernorm.bias: copying a param with shape torch.Size([1152]) from checkpoint, the shape in current model is torch.Size([768]).
You may consider adding ignore_mismatched_sizes=True in the model from_pretrained method.
same problem
same problem.How to solve it???Please.
I tried this method and it works for me.
It works. Thank you!!!
However，There are some warnings：
UserWarning: for vision_model.head.mlp.fc2.bias: copying from a non-meta parameter in the checkpoint to a meta parameter in the current model, which is a no-op. (Did you mean to pass assign=True to assign items in the state dictionary to their corresponding key in the module instead of copying them in place?)
Have you encountered it?