How to load a model instead of only its weights?

1

I used Coqui-TTS with MPS device and pytorch==2.7.0.dev,and it just showed this.How to solve it without changing the codes in Coqui-TTS as it is a pypi repository?

tts = TTS(“tts_models/multilingual/multi-dataset/xtts_v2”).to(device)
tts_models/multilingual/multi-dataset/xtts_v2 is already downloaded.
Using model: xtts
Traceback (most recent call last):
File “”, line 1, in
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/api.py”, line 74, in init
self.load_tts_model_by_name(model_name, gpu)
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/api.py”, line 177, in load_tts_model_by_name
self.synthesizer = Synthesizer(
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/utils/synthesizer.py”, line 109, in init
self._load_tts_from_dir(model_dir, use_cuda)
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/utils/synthesizer.py”, line 164, in _load_tts_from_dir
self.tts_model.load_checkpoint(config, checkpoint_dir=model_dir, eval=True)
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/tts/models/xtts.py”, line 773, in load_checkpoint
checkpoint = self.get_compatible_checkpoint_state_dict(model_path)
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/tts/models/xtts.py”, line 714, in get_compatible_checkpoint_state_dict
checkpoint = load_fsspec(model_path, map_location=torch.device(“cpu”))[“model”]
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/TTS/utils/io.py”, line 54, in load_fsspec
return torch.load(f, map_location=map_location, **kwargs)
File “/opt/anaconda3/envs/coqui/lib/python3.10/site-packages/torch/serialization.py”, line 1488, in load
raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL TTS.tts.configs.xtts_config.XttsConfig was not an allowed global by default. Please use torch.serialization.add_safe_globals([XttsConfig]) or the torch.serialization.safe_globals([XttsConfig]) context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only torch.load — PyTorch 2.5 documentation.

wav = tts.tts(text=“Hello world!”, speaker_wav=“my/cloning/audio.wav”, language=“en”)
Traceback (most recent call last):
File “”, line 1, in
NameError: name ‘tts’ is not defined. Did you mean: ‘TTS’?