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Retrieval-based-Voice-Conve…/rvc/f0/models.py
2024-11-27 22:16:06 +09:00

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Python

import torch
def get_rmvpe(
model_path="assets/rmvpe/rmvpe.pt", device=torch.device("cpu"), is_half=False
):
from rvc.f0.e2e import E2E
model = E2E(4, 1, (2, 2))
ckpt = torch.load(model_path, map_location=device, weights_only=True)
model.load_state_dict(ckpt)
del ckpt
model.eval()
if is_half:
model = model.half()
model = model.to(device)
return model