| import torch | |
| def model_information(path): | |
| model_data = torch.load(path, map_location="cpu") | |
| print(f"Loaded model from {path}") | |
| data = model_data | |
| epochs = data.get("info", "None") | |
| sr = data.get("sr", "None") | |
| f0 = data.get("f0", "None") | |
| version = data.get("version", "None") | |
| return(f"Epochs: {epochs}\nSampling rate: {sr}\nPitch guidance: {f0}\nVersion: {version}") |