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import torch | |
def get_rmvpe(model_path="assets/rmvpe/rmvpe.pt", device=torch.device("cpu")): | |
from infer.lib.rmvpe import E2E | |
model = E2E(4, 1, (2, 2)) | |
ckpt = torch.load(model_path, map_location=device) | |
model.load_state_dict(ckpt) | |
model.eval() | |
model = model.to(device) | |
return model | |